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SPIRES-BOOKS: FIND KEYWORD DATA MINING *END*INIT* use /tmp/qspiwww.webspi1/18648.128 QRY 131.225.70.96 . find keyword data mining ( in books using www Cover
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Call number:9783319459011:ONLINE Show nearby items on shelf
Title:First Complex Systems Digital Campus World E-Conference 2015
Author(s):
Date:2017
Size:1 online resource (VIII, 424 p. 120 illus., 96 illus. in color p.)
Contents:Welcome to CS-DC’15 -- Reconstructing multi-scale dynamics -- Machine learning methods -- A formal model to compute uncertain continuous data -- Knowledge maps -- Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals
Novel Patterns -- Epistemology of integrative and predictive sciences -- Information science and the complexity: are we orientated to a transdisciplinary science? -- Synthesis of ecology, biology and ethnographic data -- Bayesian
Causalities, Mappings, and Phylogenies: A Social Science Gateway for Modeling Complexity in Ethnographic, Archaeo-, Eco- and Bio-logical Variables -- Multi-level modeling -- Statistical and dynamical properties of networks -- Community
detection as an efficient way to attack real networks -- From particles to complex matter -- Chemical garden -- Assembly of molecular metal oxides from the nano to the macroscale via chemical gardens -- Physics of complex systems --
Viscosity scaling in hydrodynamic instabilities in porous media -- A general approach to the linear stability analysis of miscible viscous fingering in porous media -- From individual to social cognition -- From individual to social
cognition: Piaget, Jung and commons -- Ecological approach of sport and sport education -- Ecological Dynamics: a theoretical framework for understanding sport performance, physical education and physical -- Emerging dance movements
under ecological constraints in Contact Improvisation dancers with different background -- Emerging collective shared behaviors from individual exploration in football small-sided games -- Adaptability in swimming pattern: how do
swimmers adapt propulsive action as a function of speed? -- Backstroke start performance prediction -- Flexible perception-action strategies for follow-the-leader coordination -- Dynamic process of pulmonary data analysis: from the
athlete mouth to the coach’s hands -- From processing units to computational ecosystems to the cloud -- A multi-agent system approach to load-balancing and resource allocation for distributed computing -- Integrative science of
education -- POEM-COPA Collaborative Open Peer Assessment -- Implications of agent-based computational modeling and simulation for preventive education in children with ADHD -- MOOC as a complex system -- From fields to territories to
the planet -- Integrative logistics -- Logistics and Territory integrative approach -- Process modeling of an international transport chain through the simulation tool SIMPROCESS -- Dynamic emissions reduction from vehicles with
technical and behavioral approach -- 4p-factories (e-lab) -- Is the Lean Organisation a complex system? -- An artificial immune ecosystem model for hybrid cloud supervision -- Engineering of territory sustainability -- Spatialisation
of Soil Erosion Susceptibility Using USLE Model -- Social patterns in multicultural environments Matrimonial patterns and trans-ethnic entities -- Economics as a complex evolutionist system -- A study of heterogeneity in a stock market
simulator based on a model of agents that learn from experience in a market with multiple stocks -- Are innovation systems complex systems? -- From molecules to ecosphere -- Ocean biogeochemical dynamics -- Frontal systems as
mechanisms of fish aggregation -- Lagrangian approach to phytoplankton mesoscale biogeography in the Kerguelen region -- Lyapunov exponents and oceanic fronts.
ISBN:9783319459011
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Data mining , System theory , Computational intelligence , Complexity, Computational , Physics , Complex Systems , Complex Systems , Complexity , Data Mining and Knowledge Discovery , Computational Intelligence , Biological and Medical Physics, Biophysics
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Call number:9781449323615:ONLINE Show nearby items on shelf
Title:Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython
Author(s): Wes McKinney
Date:2012
Publisher:O'Reilly Media
Size:469 p
Contents:Preliminaries -- Introductory examples -- IPython : an interactive computing development environment -- NumPy basics : arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data wrangling : clean, transform, merge, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Financial and economic data applications -- Advanced NumPy
ISBN:9781449319793
Series:eBooks
Keywords: Data mining , Programming languages (Electronic computers) , Python (Computer program language)
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Call number:1848214227:ONLINE Show nearby items on shelf
Title:Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing
Author(s): Magoules
Date:2016
Publisher:Wiley-ISTE
Size:1 online resource (187 p.)
ISBN:9781848214224
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Computer Science
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Call number:1119977134:ONLINE Show nearby items on shelf
Title:A Practical Guide to Data Mining for Business and Industry
Author(s): Ahlemeyer-Stubb
Date:2014
Size:1 online resource (325 p.)
ISBN:9781119977131
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:1119967546:ONLINE Show nearby items on shelf
Title:Visual Data Mining - The VisMiner Approach
Author(s): Anderson
Date:2012
Publisher:Wiley
Size:1 online resource (209 p.)
ISBN:9781119967545
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:1118998235:ONLINE Show nearby items on shelf
Title:Data Mining and Learning Analytics: Applications in Educational Research
Author(s): ElAtia
Date:2016
Publisher:Wiley
Size:1 online resource (321 p.)
ISBN:9781118998236
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: General Computing
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Call number:111883481X:ONLINE Show nearby items on shelf
Title:Automated Data Collection with R - A Practical Guide to Web Scraping and Text Mining
Author(s): Munzert
Date:2015
Publisher:Wiley
Size:1 online resource (475 p.)
ISBN:9781118834817
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:1118618041:ONLINE Show nearby items on shelf
Title:Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners
Author(s): Dean
Date:2014
Publisher:Wiley
Size:1 online resource (289 p.)
ISBN:9781118618042
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Business & Management
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Call number:111844714X:ONLINE Show nearby items on shelf
Title:Data Mining and Business Analytics with R
Author(s): Ledolter
Date:2013
Publisher:Wiley
Size:1 online resource (369 p.)
ISBN:9781118447147
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:1118407415:ONLINE Show nearby items on shelf
Title:Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition
Author(s): Myatt
Date:2014
Publisher:Wiley
Size:1 online resource (249 p.)
ISBN:9781118407417
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:111833258X:ONLINE Show nearby items on shelf
Title:Data Mining Algorithms - Explained Using R
Author(s): Cichosz
Date:2015
Size:1 online resource (717 p.)
ISBN:9781118332580
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:111811891X:ONLINE Show nearby items on shelf
Title:Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring
Author(s): Maybury
Date:2012
Publisher:Wiley-IEEE Computer Society Pr
Size:1 online resource (497 p.)
ISBN:9781118118917
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0471731900:ONLINE Show nearby items on shelf
Title:Mining Graph Data
Author(s): Cook
Date:2006
Publisher:Wiley-Interscience
Size:1 online resource (501 p.)
ISBN:9780471731900
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0471666564:ONLINE Show nearby items on shelf
Title:Data Mining Methods and Models
Author(s): Larose
Date:2005
Publisher:Wiley-Interscience
Size:1 online resource (345 p.)
ISBN:9780471666561
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Computer Science
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Call number:0471666556:ONLINE Show nearby items on shelf
Title:Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Author(s): Markov
Date:2007
Publisher:Wiley-Interscience
Size:1 online resource (219 p.)
ISBN:9780471666554
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Computer Science
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Call number:0471268518:ONLINE Show nearby items on shelf
Title:Exploratory Data Mining and Data Cleaning, Online Version
Author(s): Dasu
Date:2003
Publisher:Wiley-Interscience
Size:1 online resource (204 p.)
ISBN:9780471268512
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0470908742:ONLINE Show nearby items on shelf
Title:Discovering Knowledge in Data: An Introduction to Data Mining, Second Edition
Author(s): Larose
Date:2014
Publisher:Wiley
Size:1 online resource (337 p.)
ISBN:9780470908747
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: General Computing
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Call number:0470890452:ONLINE Show nearby items on shelf
Title:Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Author(s): Kantardzic
Date:2011
Publisher:Wiley-IEEE Press
Size:1 online resource (553 p.)
ISBN:9780470890455
Series:eBooks
Series:Wiley Online Library
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Keywords: Computer Science
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Call number:0470743972:ONLINE Show nearby items on shelf
Title:Data Mining Techniques in Customer Relationship Management - Inside Customer Segmentation
Author(s): Tsiptsis
Date:2010
Publisher:Wiley
Size:1 online resource (373 p.)
ISBN:9780470743973
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:047072210X:ONLINE Show nearby items on shelf
Title:Graphical Models - Representations for Learning, Reasoning and Data Mining 2e
Author(s): Borgelt
Date:2009
Publisher:Wiley
Size:1 online resource (405 p.)
ISBN:9780470722107
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0470688297:ONLINE Show nearby items on shelf
Title:Data Mining and Statistics for Decision Making
Author(s): Tuffery
Date:2011
Publisher:Wiley
Size:1 online resource (717 p.)
ISBN:9780470688298
Series:eBooks
Series:Wiley Online Library
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Keywords: Statistics
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Call number:047051258X:ONLINE Show nearby items on shelf
Title:Data Mining techniques in Grid Computing Environments
Author(s): Dubitzky
Date:2008
Publisher:Wiley
Size:1 online resource (289 p.)
ISBN:9780470512586
Series:eBooks
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Keywords: General Computing
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Call number:0470511389:ONLINE Show nearby items on shelf
Title:Business Intelligence - Data Mining and Optimization for Decision Making
Author(s): Vercellis
Date:2009
Publisher:Wiley
Size:1 online resource (437 p.)
ISBN:9780470511381
Series:eBooks
Series:Wiley Online Library
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Keywords: Statistics
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Call number:0470222808:ONLINE Show nearby items on shelf
Title:Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
Author(s): Myatt
Date:2009
Publisher:Wiley
Size:1 online resource (309 p.)
ISBN:9780470222805
Series:eBooks
Series:Wiley Online Library
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Keywords: Statistics
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Call number:0470163739:ONLINE Show nearby items on shelf
Title:Data Mining for Genomics and Proteomics: Analysisof Gene and Protein Expression Data
Author(s): Dziuda
Date:2010
Publisher:Wiley-Interscience
Size:1 online resource (329 p.)
ISBN:9780470163733
Series:eBooks
Series:Wiley Online Library
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Keywords: Computer Science
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Call number:0470149019:ONLINE Show nearby items on shelf
Title:Data Mining Using SAS(R) Enterprise Miner
Author(s): Matignon
Date:2007
Publisher:Wiley-Interscience
Size:1 online resource (585 p.)
ISBN:9780470149010
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0470090162:ONLINE Show nearby items on shelf
Title:Symbolic Data Analysis - Conceptual Statistics and Data Mining
Author(s): Billard
Date:2007
Publisher:Wiley
Size:1 online resource (331 p.)
ISBN:9780470090169
Series:eBooks
Series:Wiley Online Library
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Keywords: Statistics
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Call number:047007471X:ONLINE Show nearby items on shelf
Title:Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
Author(s): Myatt
Date:2006
Publisher:Wiley-Interscience
Size:1 online resource (293 p.)
ISBN:9780470074718
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0470058870:ONLINE Show nearby items on shelf
Title:Applied Data Mining for Business and Industry 2e
Author(s): Giudici
Date:2009
Publisher:Wiley
Size:1 online resource (259 p.)
ISBN:9780470058879
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:SPRINGER-2016-9783319292281:ONLINE Show nearby items on shelf
Title:Proceedings of ECCS 2014 European Conference on Complex Systems
Author(s):
Date:2016
Size:1 online resource (48 p.)
Note:10.1007/978-3-319-29228-1
Contents:Preface -- Detection of Non-Self-Correcting Nature of Information Cascade -- Fitting Planar Proximity Graphs on Real Street Networks. - Qualitative Methods for the Exploration of Complexity in Human Social Systems: Applications in
Family Psychology -- Tangible Networks: A Toolkit for Exploring Network Science -- The Geometric Origins of Complex Cities -- Revealing the Relation Between Structure of Chloroplast Genomes and Host Taxonomy -- Complex Synchronization
Patterns in the Human Connectome Network -- Structure of a Media Co-Occurrence Network -- Spatial Effects of Delay-induced Stochastic Oscillations in a Multi-Scale Cellular System -- An Agent-Based Modelling Approach to Biological
Invasion by Macroalgae in European Coastal Environments -- Characterisation of the Idiotypic Immune Network through Persistent Entropy -- Interests Propagation in Computer Science Research Community -- Nonparametric Estimation of the
Preferential Attachment Function in Complex Networks: Evidence of Deviations from Log Linearity -- N-Gram Events for Analysis of Financial Time Series -- Human Mobility and the Dynamics of Measles in Large Geographical Areas -- Does
Training Lead to the Formation of Modules in Threshold Networks? -- Understanding Financial News with Multi-layer Network Analysis -- Channel-Specic Daily Patterns in Mobile Phone Communication -- Investigating the Phonetic
Organisation of the English Language via Phonological Networks, Percolation and Markov Models -- An Agent-Based Model for Agricultural Supply Chains: the Case of Uganda -- Chimera States in Neuronal Systems of Excitability type-I --
Multiobjective Optimization and Phase Transitions -- Power Laws as Statistical Mixtures -- A Network-Based Analysis of the European Emission Market -- Dynamics of Commodity Price Fluctuations in Japan -- Understanding the Diffusion of
YouTube Videos -- Free Energy Rate Density and Self-organization in Complex Systems
ISBN:9783319292281
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Data mining , System theory , Complexity, Computational , Physics , Complex Networks , Complexity , Complex Systems , Data Mining and Knowledge Discovery
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Call number:SPRINGER-2016-9783319287096:ONLINE Show nearby items on shelf
Title:Data Mining with SPSS Modeler Theory, Exercises and Solutions
Author(s): Tilo Wendler
Date:2016
Size:1 online resource (1277 p.)
Note:10.1007/978-3-319-28709-6
Contents:Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book
ISBN:9783319287096
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Data mining , Computer software , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Data Mining and Knowledge Discovery , Mathematical Software
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Call number:SPRINGER-2016-9783319272740:ONLINE Show nearby items on shelf
Title:Topics in Theoretical and Applied Statistics
Author(s):
Date:2016
Size:1 online resource (18 p.)
Note:10.1007/978-3-319-27274-0
Contents:Part I Statistical Theory and Methods -- Part II Data Mining and Multivariate Data Analysis -- Part III Sampling and Estimation Methods -- Part IV Social Statistics, Demography and Health Data -- Part V Economic Statistics and Econometrics.
ISBN:9783319272740
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Demography , Statistics , Statistical Theory and Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Demography
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Call number:SPRINGER-2016-9783319263892:ONLINE Show nearby items on shelf
Title:First-stage LISA Data Processing and Gravitational Wave Data Analysis Ultraprecise Inter-satellite Laser Ranging, Clock Synchronization and Novel Gravitational Wave Data Analysis Algorithms
Author(s): Yan Wang
Date:2016
Edition:1st ed. 2016
Size:1 online resource (1 p.)
Note:10.1007/978-3-319-26389-2
Contents:Introduction -- LISA data processing chain -- Applying the Kalman filter to a simple case -- The inter-spacecraft measurements -- Design a hybrid extended Kalman filter for the entire LISA constellation -- Alternative Kalman filter
models -- Broken laser links and robustness -- Optimal filtering for LISA with effective system models -- Clock noise and disordered measurements -- Octahedron configuration for a displacement noise-canceling gravitational wave
detector in space -- EMRI data analysis with a phenomenological waveform -- Fast detection and automatic parameter estimation of a gravitational wave signal with a novel method -- Likelihood transform: making optimization and parameter
estimation easier.
ISBN:9783319263892
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Data mining , Gravitation , Astrophysics , Quantum optics , Lasers , Photonics , Physical measurements , Measurement , Physics , Astrophysics and Astroparticles , Laser Technology, Photonics , Data Mining and Knowledge Discovery , Classical and Quantum Gravitation, Relativity Theory , Measurement Science and Instrumentation , Quantum Optics
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Call number:SPRINGER-2014-9789400772878:ONLINE Show nearby items on shelf
Title:The 8th International Conference on Knowledge Management in Organizations [electronic resource] : Social and Big Data Computing for Knowledge Management
Author(s): Lorna Uden
Leon S.L Wang
Juan Manuel Corchado Rodrguez
Hsin-Chang Yang
I-Hsien Ting
Date:2014
Publisher:Dordrecht : Springer Netherlands : Imprint: Springer
Size:1 online resource
Note:The proceedings from the eighth KMO conference represent the findings of this international meeting which brought together researchers and developers from industry and the academic world to report on the latest scientific andtechnical advances on kno wledge management in organizations. This conference provided an international forum for authors to present and discuss research focused on the role of knowledge management for innovative services in industries,to shed light on recent advances in social an d big data computing for KM as well as to identify future directions for researching the role of knowledge management in service innovation and how cloud computing can be used to addressmany of the issues currently facing KM in academia and industrial sec tors
Contents:Section 1: Service and Innovation
Servitization of Business: An Exploratory Case Study of Customer Perspective
A Service Field Concept for Service Value Creation
Development of future center: a case study
Co
creation value platform based on users behaviour to increase the user engagement
Inquest for Competitive Factors of Restaurant Information Services
Cocreation and Implementing ITIL Service Management in the Cloud: A Case Study
An Ontology
based Advisement Approach for SOA Design Patterns
Creating Collaborative Innovative Environment through Knowledge Management i
ISBN:9789400772878
Series:eBooks
Series:SpringerLink
Series:Springer Proceedings in Complexity, 2213-8684
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer science , Data mining , Information systems , Telecommunication , Business planning
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Call number:SPRINGER-2014-9788847055322:ONLINE Show nearby items on shelf
Title:Social Media e Sentiment Analysis [electronic resource] : Levoluzione dei fenomeni sociali attraverso la Rete
Author(s): Andrea Ceron
Luigi Curini
Stefano M Iacus
Date:2014
Publisher:Milano : Springer Milan : Imprint: Springer
Size:1 online resource
Note:Due miliardi e mezzo di utenti internet, oltre un miliardo di account Facebook, 550 milioni di profili Twitter. Che parlano, discutono, si confrontano sui temi pi svariati. Un flusso in continuo divenire di informazioni che dsostanza ogni giorno al m ondo dei Big Data. Ma come si analizza concretamente il sentiment della Rete? Quali sono i pregi e i limiti dei diversi metodi esistenti? E a quali domande possiamo dare una risposta? Dopo aver presentatole varie tecniche di analisi testuale applicate ai social media, questo libro discute di come linformazione presente in Rete sia in grado di aiutarci a meglio comprendere il presente e a fare previsioni sul futuro riguardo a unamolteplicit di fenomeni sociali, che spaziano dallandamento dei mercati finanz iari, alla diffusione di malattie, alle rivolte e ai sommovimenti popolari fino ai risultati dei talent show, prima di concentrarsi su due casispecifici: landamento della felicit degli italiani giorno per giorno, e i risultati delle campagne elettorali in Francia, Stati Uniti e Italia tra il 2012 e il 2013
Contents:1 Perch studiare i social media
2 Opinion Mining e integrated Sentiment Analysis (iSA)
3 Catturare l'evoluzione di una emozione
4 Sentiment Analysis ed elezioni: prevedere possibile?
5 Conclusioni: Dai social media alla politica (e ritorno)
ISBN:9788847055322
Series:eBooks
Series:SpringerLink
Series:Sxi Springer per lInnovazione / Sxi Springer for Innovation, 2239-2688 : v9
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Semantics , Social sciences
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Call number:SPRINGER-2014-9783319015958:ONLINE Show nearby items on shelf
Title:Data Analysis, Machine Learning and Knowledge Discovery [electronic resource]
Author(s): Myra Spiliopoulou
Lars Schmidt-Thieme
Ruth Janning
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be appliedto a vast set of app lications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning andknowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012
Contents:AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection
AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks
AREA Data Analysis and Classification in Marketing
AREA Data Analysis in Finance
AREA Data Analysis in Biostatistics and Bioinformatics
AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology
LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science
ISBN:9783319015958
Series:eBooks
Series:SpringerLink
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Statistical methods , Mathematical statistics , Marketing , Philosophy (General)
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Call number:SPRINGER-2014-9783319007236:ONLINE Show nearby items on shelf
Title:Complexity in Financial Markets [electronic resource] : Modeling Psychological Behavior in Agent-Based Models and Order Book Models
Author(s): Matthieu Cristelli
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Tools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. Firstit is shownthatthe self-organization of fi nancial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets stylized facts appear only in the self-organizedstate. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data canyield a picture ofmarket activities: it has been found that web query volumesanticipate trade volumes. As a third achievement, the metrics developed herefor co untry competitiveness and product complexity is groundbreaking incomparison to mainstream theories of economic growth and technological development.A key element in assessing the intangible variables determining the success of countries in the present glo balized economy is represented by the diversification of the productive basket of countries. The comparison between the level ofcomplexity of a country's productive system and economic indicators such as the GDP per capita discloses its hidden growth pote ntial
Contents:Introduction
Stylized Facts
Agent
Based Modeling
Critical Review of Agent
Based Models
A Minimal Agent
Based Model
Financial Market Dynamics: Order Book and Data Analysis
Order Book: Introduction and Main Statistical Evidences
Zero Intelligence Model for the Order Book Dynamics
Evidences of strategic placements of orders
Quantitative Analysis of Technical Trading
Universal Relation between Skewness and Kurtosis
Web Queries Can Predict Stock Market Volumes
A Metric for the Economic Complexity
Theory of Economic growth
ISBN:9783319007236
Series:eBooks
Series:SpringerLink
Series:Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053
Series:Physics and Astronomy (Springer-11651)
Keywords: Data mining , Mathematics , Economics
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Call number:SPRINGER-2014-9781493907427:ONLINE Show nearby items on shelf
Title:Clusters, Orders, and Trees: Methods and Applications [electronic resource] : In Honor of Boris Mirkin's 70th Birthday
Author(s): Fuad Aleskerov
Boris Goldengorin
Panos M Pardalos
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:The volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkins ground breaking contributions in various fields of decision making anddata analysis have marke d the fourth quarter of the 20th century and beyond.Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hiddenstructuresfirst of all, clusters, orderings, and hier archiesin multivariate and/or network data. This volume contains a collection of papers reflecting recent developments rooted inMirkin's fundamental contribution to thestate-of-the-art in group choice, ordering, clustering, data mining, and knowledge disc overy. Researchers, students, and software engineers will benefit from new knowledge discovery techniques and application directions
Contents:Three and One Questions to Dr. B. Mirkin about Complexity Statistics (I. Mandel)
Section 1
A Polynomial Algorithm for a Class of 0
1 Fractional Programming Problems Involving Composite Functions, with an Application to Additive Clustering (P. Hansen, C. Meyer)
Experiments with a Non
Convex Variance
Based Clustering Criterion (R.F. Toso, E.V. Bauman, C.A. Kulikowski, I.B. Muchnik)
Strategy
Proof Location Functions on Finite Graphs (F.R. McMorris, H.M. Mulder, F.S. Roberts)
A Pseudo
Boolean Approach to the Market Graph Analysis by Means of the p
Median Model (B. Goldengorin, A. Ko
ISBN:9781493907427
Series:eBooks
Series:SpringerLink
Series:Springer Optimization and Its Applications, 1931-6828 : v92
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computational complexity , Electronic data processing
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Call number:SPRINGER-2014-9781461484714:ONLINE Show nearby items on shelf
Title:Statistical Decision Problems [electronic resource] : Selected Concepts and Portfolio Safeguard Case Studies
Author(s): Michael Zabarankin
Stan Uryasev
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a key role in statistical decision problems. It introduces state-of-the-art practical decisionmaking through twent y-one case studies from real-life applications. The case studies cover a broad area of topics and the authors include links with source code and data, a very helpful tool for the reader. In its core, the textdemonstrates how to use different factors to fo rmulate statistical decision problems arising in various risk management applications, such as optimal hedging, portfolio optimization, cash flow matching, classification, and more. Thepresentation is organized into three parts: selected concepts of stat istical decision theory, statistical decision problems, and case studies with portfolio safeguard. The text is primarily aimed at practitioners in the areas of riskmanagement, decision making, and statistics. However, the inclusion of a fair bit of mathem atical rigor renders this monograph an excellent introduction to the theory of general error, deviation, and risk measures for graduatestudents. It can be used as supplementary reading for graduate courses including statistical analysis, data mining, stoc hastic programming, financial engineering, to name a few. The high level of detail may serve useful to appliedmathematicians, engineers, and statisticians interested in modeling and managing risk in various applications
Contents:1. Random Variables
2. Deviation, Risk, and Error Measures
3. Probabilistic Inequalities
4. Maximum Likelihood Method
5. Entropy Maximization
6. Regression Models
7. Classification
8. Statistical Decision Models with Risk and Deviation
9. Portfolio Safeguard Case Studies
Index
References
ISBN:9781461484714
Series:eBooks
Series:SpringerLink
Series:Springer Optimization and Its Applications, 1931-6828 : v85
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data mining , Mathematical optimization , Distribution (Probability theory) , Operations research
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Call number:SPRINGER-2013-9783642288944:ONLINE Show nearby items on shelf
Title:Classification and Data Mining [electronic resource]
Author(s): Antonio Giusti
Gunter Ritter
Maurizio Vichi
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. Thevolume is subdivided in three parts: Classification and Data Analysis Data Mining andApplications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in thearea of Classification and Data Mining
Note:Springer eBooks
Contents:Classification and Data Analysis
Data Mining
Applications
ISBN:9783642288944
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Database management , Data mining , Mathematical statistics
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Call number:SPRINGER-2013-9783319001104:ONLINE Show nearby items on shelf
Title:Temporal Patterns of Communication in Social Networks [electronic resource]
Author(s): Giovanna Miritello
Date:2013
Publisher:Heidelberg : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects. In fact, although many real social networks are dynamic networks whose elementsand properties conti nuously change over time, traditional approaches to social network analysis are essentially static, thus neglecting all temporal aspects. Specifically, we have investigated the role that temporal patterns of humaninteraction play in three main fields of s ocial network analysis and data mining: characterization of time (or attention) allocation in social networks, prediction of link decay/persistence, and information spreading. In order toaddress this we analyzed large anonymized data sets of phone call co mmunication traces over long periods of time. Access to these observations was granted by Telefonica Research, Spain. The findings that emerge from our researchindicate that the observed heterogeneities and correlations of human temporal patterns of inter action significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. Since structureand dynamics are tightly coupled, they cannot be disentangled in the analysis and modeling of human behavior, thoug h traditional models seek to do so. Our results impact not only the way in which social network are traditionallycharacterized, but more importantly also the understanding and modeling phenomena such as group formation, spread of epidemics, and the dissem ination of ideas, opinions and information
Note:Springer eBooks
Contents:Introduction and Motivation
Social and Communication Networks
Social Strategies in Communication Networks
Predicting Tie Creation and Decay
Information Spreading on Communication Networks
Conclusion, contributions and vision for the future
Data and Materials
ISBN:9783319001104
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053
Series:Physics and Astronomy (Springer-11651)
Keywords: Mathematics
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Call number:SPRINGER-2013-9783319000350:ONLINE Show nearby items on shelf
Title:Algorithms from and for Nature and Life [electronic resource] : Classification and Data Analysis
Author(s): Berthold Lausen
Dirk Van den Poel
Alfred Ultsch
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. Inaddition to theory-o riented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicologydescribe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl),the German Association for PatternRecognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011
Note:Springer eBooks
Contents:Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
Bioinformatics and Biostatistics
Archaeology and Geography, Psychology and Educational Sciences
Text Mining, Social Networks and Clustering
Banking and Finance
Marketing and Management
Music Classification Workshop
ISBN:9783319000350
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Social sciences Data processing , Mathematical statistics , Economics Statistics , Operations research
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Call number:SPRINGER-2013-9783319000329:ONLINE Show nearby items on shelf
Title:Statistical Models for Data Analysis [electronic resource]
Author(s): Paolo Giudici
Salvatore Ingrassia
Maurizio Vichi
Date:2013
Publisher:Heidelberg : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation ofthe proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the ItalianStatistical Society
Note:Springer eBooks
Contents:From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model
based classification via patterned covariance analysis
Data stream summarization by histograms clustering
Web panel representativeness
Nonparametric inference via permutation tests for CUB models
Asymmetric multidimensional scaling models for seriations
An approach to ranking the hedge funds industry
Correction of incoherences in statistical matching
The analysis of network additionality in the context of territorial in
ISBN:9783319000329
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Electronic data processing , Educational tests and measurements , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2013-9781461478461:ONLINE Show nearby items on shelf
Title:Topics in Applied Statistics [electronic resource] : 2012 Symposium of the International Chinese Statistical Association
Author(s): Mingxiu Hu
Yi Liu
Jianchang Lin
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The 21st ICSA Applied Statistics Symposium took place between the 23rd and 26th of June, 2012 in Boston, Massachusetts. The Symposium was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) andAmerican Statistical Associ ation (ASA). This is the first proceedings volume to share research from the ICSA Applied Statistics Symposium. The volume consists of 27 selected papers from topics that range from statistical applicationsin business and finance to applications in clinic al trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers as broad as possible to serve the whole statisticalcommunity and the vast variety in research interests
Note:Springer eBooks
Contents:Bayesian statistics in clinical trials
High
dimensional data analysis: Survival analysis
Adaptive designs
Statistics in Business and Finance
Biomarker analysis
Statistical genetics and genomics
Data mining and statistical learning
ISBN:9781461478461
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v55
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics
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Call number:SPRINGER-2013-9781461458388:ONLINE Show nearby items on shelf
Title:Optimization [electronic resource]
Author(s): Kenneth Lange
Date:2013
Edition:2nd ed. 2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance betweenpresentation of mathematical theo ry and development of numerical algorithms. Building on students skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on statisticalapplications will be especially appealing to graduate stude nts of statistics and biostatistics. The intended audience also includes students in applied mathematics, computational biology, computer science, economics, and physics whowant to see rigorous mathematics combined with real applications. In this second edition, the emphasis remains on finite-dimensional optimization. New material has been added on the MM algorithm, block descent and ascent, and thecalculus of variations. Convex calculus is now treated in much greater depth. Advanced topics such as the F enchel conjugate, subdifferentials, duality, feasibility, alternating projections, projected gradient methods, exact penaltymethods, and Bregman iteration will equip students with the essentials for understanding modern data mining techniques in high dime nsions
Note:Springer eBooks
Contents:Elementary Optimization
The Seven Cs of Analysis
The Gauge Integral
Differentiation
Karush
Kuhn
Tucker Theory
Convexity
Block Relaxation
The MM Algorithm
The EM Algorithm
Newtons Method and Scoring
Conjugate Gradient and Quasi
Newton
Analysis of Convergence
Penalty and Barrier Methods
Convex Calculus
Feasibility and Duality
Convex Minimization Algorithms
The Calculus of Variations
Appendix: Mathematical Notes
References
Index
ISBN:9781461458388
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X : v95
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical optimization , Mathematical statistics , Operations research
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Call number:SPRINGER-2013-9781461450948:ONLINE Show nearby items on shelf
Title:Systems Analysis Tools for Better Health Care Delivery [electronic resource]
Author(s): Panos M Pardalos
Pando G Georgiev
Petraq Papajorgji
Britta Neugaard
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents some recent systems engineering and mathematical tools for health care along with their real-world applications by health care practitioners and engineers. Advanced approaches, tools, and algorithms used inoperating room scheduling and patient flow are covered. State-of-the-art results from applications of data mining, business process modeling, and simulation in healthcare, together with optimization methods, form the core of thevolume. Systems Analysis Tools for Better Health Car e Delivery illustrates the increased need of partnership between engineers and health care professionals. This book will benefit researchers and practitioners in health care deliveryinstitutions, staff members and professionals of specialized hospital uni ts, and lecturers and graduate students in engineering, applied mathematics, business administration and health care
Note:Springer eBooks
ISBN:9781461450948
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v74
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Practice of medicine , Mathematical optimization
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Call number:SPRINGER-2013-9781461448549:ONLINE Show nearby items on shelf
Title:SAS for Epidemiologists [electronic resource] : Applications and Methods
Author(s): Charles DiMaggio
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude ofexamples. It is direct ly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a hands on approach to the use of SAS for a broad number of epidemiologic analyses, readerslearn techniques for data entry and cleaning, cate gorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps forsuccessful programming. SAS (Statistical Analysis System) is an integrated s ystem of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engagein many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widel y used in the fields of epidemiology and public healthresearch, predominately due to its ability to reliably analyze very largeadministrative data sets, as well as more commonly encountered clinical trial and observational research data.
Note:Springer eBooks
Contents:Introduction
The SAS Environment
Working with SAS Data
Preliminary Procedures
Manipulating Data
Descriptive Statistics
Histograms and Plots
Categorical Data Analysis I and II
Cleaning and Assessing Continuous Data using MEANS
ANOVA
Correlation
Linear Regression
Regression Diagnostics
Solutions
ISBN:9781461448549
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2013-9781461443438:ONLINE Show nearby items on shelf
Title:R for Business Analytics [electronic resource]
Author(s): A Ohri
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select thepackages that can help pro cess the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut downand bend the famous learning curve in learningR. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models andforecasting. The book tries to expose the reader to a breadth of business anal ytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. Thisbook is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for businessanalytics practitioners. Business analytics (BA) refers to the field ofexploration and investigation of data generated by busines ses. Business Intelligence (BI) is the seamless dissemination of information through the organization,which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discove ring new patterns from large data using algorithms and statistical methods. Todifferentiate between the three, BI is mostly current reports, BA is models to predict and strategizeand DM matches patterns in big data. The R statistical software is the faste st growing analytics platform in the world, and isestablished in both academia and corporations for robustness, reliability and accuracy.
Note:Springer eBooks
Contents:Why R
R Infrastructure
R Interfaces
Manipulating Data
Exploring Data
Building Regression Models
Data Mining using R
Clustering and Data Segmentation
Forecasting and Time
Series Models
Data Export and Output
Optimizing your R Coding
Additional Training Literature
Appendix
ISBN:9781461443438
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2013-9781441998781:ONLINE Show nearby items on shelf
Title:Robust Data Mining [electronic resource]
Author(s): Petros Xanthopoulos
Panos M Pardalos
Theodore B Trafalis
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques.Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust optimization in data mining. This briefcontains an overview of the rapidly growing field ofrobust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems.Thisbrief will appeal to theoreticians and data miners working in thi s field
Note:Springer eBooks
Contents:1. Introduction
2. Least Squares Problems
3. Principal Component Analysis
4. Linear Discriminant Analysis
5.Support Vector Machines
6. Conclusion
ISBN:9781441998781
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Optimization, 2190-8354
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Software engineering , Data mining , Mathematical optimization
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Call number:SPRINGER-2013-9781441902368:ONLINE Show nearby items on shelf
Title:Multidimensional Data Visualization [electronic resource] : Methods and Applications
Author(s): Gintautas Dzemyda
Olga Kurasova
Julius ilinskas
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The goal of this book is to present a variety of methods used in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks,combinations of algorith ms, parallel computing, different proximity measures, nonlinear manifold learning, and more. Many of the applications presented allow us to discover the obvious advantages of visual data miningit is mucheasier for a decision maker to detect or extract use ful information from graphical representation of data than from raw numbers. The fundamental idea of visualization is to provide data in some visual form that lets humans understandthem, gain insight into the data, draw conclusions, and directly influence the process of decision making. Visual data mining is a field where human participation is integrated in the data analysis process it covers data visualizationand graphical presentation of information. Multidimensional Data Visualization is intended for scientists and researchers in any field of study where complex and multidimensional data must be visually represented. It may also serve asa useful research supplement for PhD students in operations research, computer science, various fields of engineerin g, as well as natural and social sciences
Note:Springer eBooks
Contents:Preface
1.Multidimensional Data and the Concept of Visualization
2. Strategies for Multidimensional Data Visualization
3. Optimization
Based Visualization
4. Combining Multidimensional Scaling with Artificial Neural Networks
5. Applications of Visualizations
A. Test Data Sets
References
Index
ISBN:9781441902368
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v75
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Artificial intelligence , Computer simulation , Visualization , Mathematical optimization
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