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SPIRES-BOOKS: FIND KEYWORD APPLICATIONS OF GRAPH THEORY AND COMPLEX NETWORKS *END*INIT* use /tmp/qspiwww.webspi1/22753.179 QRY 131.225.70.96 . find keyword applications of graph theory and complex networks ( in books using www Cover
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Call number:9783319542416:ONLINE Show nearby items on shelf
Title:Complex Networks VIII Proceedings of the 8th Conference on Complex Networks CompleNet 2017
Author(s):
Date:2017
Size:1 online resource (XIV, 262 p. 88 illus., 75 illus. in color p.)
Contents:Part I: Theory of Complex Networks -- Second-Order Assortative Mixing in Social Networks -- Network motifs detection using random networks with prescribed subgraph frequencies -- Network motifs detection using random networks with
prescribed subgraph frequencies -- Fuzzy Centrality Evaluation in Complex and Multiplex Networks -- Part II: Community Structure -- Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model -- Node-centric
community detection in multilayer networks with layer-coverage diversification bias -- Community Detection in Signed Networks Based on Extended Signed Modularity -- Characterising inter and intra-community interactions in link streams
using temporal motifs -- Part III: Dynamics of Networks -- Modeling the Impact of Privacy on Information Diffusion in Social Networks -- Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks -- Stochastic Modeling
of the Decay Dynamics of Online Social Networks -- Part IV: Applications of Network Science -- Complex Reaction Network in Silane Plasma Chemistry -- Seeing Red: Locating People of Interest in Networks -- Understanding Subject-based
Emoji Usage using Network Science -- Characterization of Written Languages using Structural Features from Common Corpora -- Optimal Information Security Investment in Modern Social Networking -- Part V: Social Structure -- Emergence of
social balance in signed networks -- Community Detection in the Network of German Princes in 1225: a Case Study -- Comparative topological signatures of growing collaboration networks -- Part VI: Human Behavior -- Explaining changes in
physical activity through a computational model of social contagion -- Everyday the Same Picture: Popularity and Content Diversity -- Part VII: Biological Networks -- Investigating side effect modules in the interactome and their use
in drug adverse effect discovery -- Attractor Analysis of the Asynchronous Boolean Model of the Klotho Gene Regulatory Network
ISBN:9783319542416
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Artificial intelligence , Computational intelligence , Complexity, Computational , Physics , Applications of Graph Theory and Complex Networks , Computational Social Sciences , Computational Intelligence , Artificial Intelligence (incl. Robotics) , Complexity
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Call number:9783319477053:ONLINE Show nearby items on shelf
Title:Econophysics and Sociophysics: Recent Progress and Future Directions
Author(s):
Date:2017
Size:1 online resource (VIII, 256 p. 85 illus., 77 illus. in color p.)
Contents:Anindya S. Chakrabarti, Topology of the international trade network: size, asymmetry and volatility -- Attilio Stella, Optimal growth in the network of global economy -- Bikas K. Chakrabarti, Inequality in Societies, Academic
Institutions & Science Journals: Gini & k-indices -- Damien Challet, Market nanostructure insight into market stylized facts -- Deepak Dhar, Dynamical networks of agents with degree preference -- Diego Garlaschelli, Network
reconstruction, systemic risk, and early-warning signals -- Dipankar Gupta, Boundaries, Transgressions and Disciplinary Dynamics -- Emanuele Pugliese, New Metrics for Economic Complexity -- Fabrizio Lillo, Complex network methods for
systemic risk assessment -- Frédéric Abergel, Imperfections of financial markets: a limit order book perspective -- Harbir Lamba, Modelling momentum traders in a financial market using Prandtl-Ishlinskii operators -- Hideaki Aoyama,
Deflation and Money -- Irena Vodenska, Bi-partite network approach to predictability of financial markets and news sentiments -- János Kertész, Kinetics of Social Contagion -- Joshin Murai, A model of order signs under multiple order
splitting and public information -- Karmeshu, Stochastic Modelling of High Frequency Intra-day Stock Returns: Emergence of Cubic Power-Law -- Kimmo Kaski, Social Physics: Studies of in vivo / in situ human sociality -- Kousik
Guhathakurta, Comparing the complexity of emerging and developed stock markets using recurrence network analysis -- M.S. Santhanam, Records statistics and financial time series -- Marco Patriarca, The microscopic origin of the Pareto
law and other power-law distributions -- Matteo Marsili, Complexity driven collapse of economic equilibria -- Michele Caraglio, Bridging intraday and interday market behavior through scaling -- Parongama Sen, Segregation dynamics with
continuously varying utility factor -- Sandeep Juneja, Nearest neighbor based and other popular methods for pricing Bermudan options -- Sitabhra Sinha, Loss of structural balance in the network of cross-correlations characterizing a
financial market signals the onset of major economic crisis -- Stanislao Gualdi, A dynamic model of input-output production networks: general equilibrium stability and emergence of scale-free structures -- Taisei Kaizoji, Why does the
power law for share price hold? -- Takaaki Ohnishi, Real estate valuation using k-nearest neighbor regression -- Takayuki Mizuno, Statistically detecting stock bubbles before they burst -- Victor Yakovenko, Economic inequality from
statistical physics point of view -- Yoshi Fujiwara, Quantifying Financial Distress in a Nation-wide Production Network -- Yoshiyuki Arata, Macroeconomic Consequences of Lumpy Investment under Uncertainty -- Youngna Choi, Tracking
Financial Instability Contagion: modeling and data calibration -- Yuichi Ikeda, Community and Controllability of Global Production Network: Focusing on the Economic Crisis of 2008
ISBN:9783319477053
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Statistics , Physics , Data-driven Science, Modeling and Theory Building , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Applications of Graph Theory and Complex Networks
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Call number:9783319441658:ONLINE Show nearby items on shelf
Title:New Horizons in Fundamental Physics
Author(s):
Date:2017
Size:1 online resource (IX, 389 p. 134 illus., 95 illus. in color p.)
Contents:Part I Nuclear Structure and Superheavy Elements: Intertwining of Greiner's Theoretical Works and our Experimental Studies (J.H. Hamilton et al.) -- Eighty years of research on super-heavy nuclei (S. Hofmann) -- Perspectives of heavy
and superheavy nuclei research (A.V. Karpov et al.) -- Superheavy Element Chemistry - New experimental results challenge theoretical understanding (R. Eichler) -- 25 Years of FRS Experiments and New Horizons (H. Geissel et al.) -- SHE
Research with Rare-Isotope Beams, Challenges and Perspectives, and the new Generation of SHE Factories (G. Münzenberg et al.) -- Multi-modal Collinear Ternary Fission (W. von Oertzen et al.) -- From the stable to the exotic: clustering
in light nuclei (C. Beck) -- Towards Laser Spectroscopy of Superheavy Elements (H. Backe) -- Part II Physics of Heavy-Ion Collisions: Chemical freeze-out conditions in hadron resonance gas (V. Vovchenko et al.) -- The QCD Phase Diagram
and Hadron Formation in Relativistic Nuclear Collisions (F. Becattini et al.) -- Degrees of Freedom of the Quark Gluon Plasma, tested by Heavy Mesons (H. Berrehrah et al.) -- Electromagnetic emissivity of hot and dense matter (E.L.
Bratkovskaya at al.) -- Heavy-Ion Collisions: Status of Chemical Equilibrium (J. Cleymans) -- Novel developments of HYDJET++ model for ultra-relativistic heavy-ion collisions (L. Bravina et al.) -- Jet tomography in heavy-ion
collisions-Challenges, Results, and Open Problems (B. Betz) -- Part III QED - Strong Fields and High Precision: Probing QED Vacuum with Heavy Ions (J. Rafelski et al.) -- Laser assisted Breit-Wheeler and Schwinger processes (T. Nousch
et al.) -- A method to measure vacuum birefringence at FCC-ee (U.I. Uggerhoj et al.) -- Unifying Quantum Electro-Dynamics and Many-Body Perturbation Theory (I. Lindgren et al.) -- Part IV Astrophysics: Simulations of accretion disks
around massive stars (M. Algalán et al.).-Neutron Stars-Possibilities and Limits for Exotic Phases (S. Schramm et al.) -- The Case for an Underground Neutrino Facility in South Africa (Z.Z. Vilakazia et al.) -- Part IV Special topics:
Covariant Hamiltonian representation of Noether's theorem and its application to SU(N) gauge theories (J. Struckmeier et al.) -- Infrastructure Estimates for a Highly Renewable Global Electricity Grid (M. Dahl et al.) -- Power flow
tracing in complex networks (M. Schäfer et al.) -- Patent protection of high-level research results (T. J. Bürvenich)
ISBN:9783319441658
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Astrophysics , Nuclear physics , Heavy ions , Hadrons , Atoms , Matter , Physics , Nuclear Physics, Heavy Ions, Hadrons , Atoms and Molecules in Strong Fields, Laser Matter Interaction , Applications of Graph Theory and Complex Networks , Astrophysics and Astroparticles
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Call number:9783319394459:ONLINE Show nearby items on shelf
Title:Maths Meets Myths: Quantitative Approaches to Ancient Narratives
Author(s):
Date:2017
Size:1 online resource (X, 228 p. 64 illus., 47 illus. in color p.)
Contents:Preface -- Foreword -- Introduction -- Cognitive and Network Constraints in Real Life and Literature -- A Networks Approach to Mythological Epics -- Medieval Historical, Hagiographical and Biographical Networks -- Peopling of the New
World from data on distributions of folklore motifs -- Phylogenetics Meets Folklore: Bioinformatic Approaches to the Study of International Folktales -- Analyses of a VirtualWorld -- Ghostscope: Conceptual Mapping of Supernatural
Phenomena in a Large Folklore Corpus -- Complex Networks of Words in Fables -- Analysing and Restoring the Chronology of the Irish Annals -- Mapping Literate Networks in Early Medieval Ireland Quantitative Realities, Social
Mythologies? -- How quantitative methods can shed light on a problem of comparative mythology: The myth of the struggle for supremacy between two groups of deities reconsidered
ISBN:9783319394459
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , History , Medieval philosophy , Historical linguistics , Social sciences , Physics , Applications of Graph Theory and Complex Networks , History, general , Methodology of the Social Sciences , Historical Linguistics , Medieval Philosophy
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Call number:SPRINGER-2011-9780817649043:ONLINE Show nearby items on shelf
Title:Towards an Information Theory of Complex Networks [electronic resource] : Statistical Methods and Applications
Author(s): Matthias Dehmer
Frank Emmert-Streib
Alexander Mehler
Date:2011
Edition:1
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:For over a decade, complex networks have steadily grown as an important tool across abroad array of academic disciplines, with applications ranging from physics to social media.A tightly organizedcollectionofcarefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statisticalmodels of complex networks in the natural sciences and humanities.The book'smajor goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand andcharacterize real-world networks. This volume is the first to present a self-contained, comprehensive overvi ew of information-theoretic modelsof complex networks with an emphasis on applications. It begins with four chaptersdeveloping the most significant formal-theoretical issues of network modeling,butthe majority of the book is devoted tocombining theoretica l results with an empirical analysis of real networks. Specific topics include: chemicalgraph theory ecosystem interaction dynamics social ontologies language networks software systems Thiswork marks a first step toward establishing advanced statistical i nformation theory as a unified theoretical basis of complexnetworksfor allscientific disciplines. As such, itcan serve asa valuable resource foradiverse audience of advanced students and professional scientists.It is primarilyintendedas a reference for re search, but couldalso be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others
Note:Springer eBooks
Contents:Preface
Entropy of Digraphs and Infinite Networks
An Information
Theoretic Upper Bound on Planar Graphs Using Well
orderly Maps
Probabilistic Inference Using Function Factorization and Divergence Minimization
Wave Localization on Complex Networks
Information
Theoretic Methods in Chemical Graph Theory
On the Development and Application of Net
Sign Graph Theory
The Central Role of Information Theory in Ecology
Inferences About Coupling from Ecological Surveillance Monitoring
Markov Entropy Centrality
Social Ontologies as Generalizedd Nearly Acyclic Directed Graphs
ISBN:9780817649043
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Coding theory , Artificial intelligence , Physiology Mathematics , Telecommunication
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Call number:SPRINGER-2011-9780817647896:ONLINE Show nearby items on shelf
Title:Structural Analysis of Complex Networks [electronic resource]
Author(s): Matthias Dehmer
Date:2011
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graph-theoreticmethods with mathemat ical techniques from other scientific disciplines, such as machine learning and information theory, in order to analyze complex networks more adequately. Filling a gap in literature, this self-contained bookpresents theoretical and application-oriented re sults to structurally explore complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a toolfor solving interdisciplinary problems. Special emphasis is given to m ethods related to the following areas: * Applications to biology, chemistry, linguistics, and data analysis * Graph colorings * Graph polynomials * Informationmeasures for graphs * Metrical properties of graphs * Partitions and decompositions * Quantitati ve graph measures Structural Analysis of Complex Networks is suitable for a broad, interdisciplinary readership of researchers,practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelli gence, computational and systems biology, cognitive science, computational linguistics, and mathematicalchemistry. The book may be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods
Note:Springer eBooks
Contents:Preface
A Brief Introduction to Complex Networks and Their Analysis
Partitions of Graphs
Distance in Graphs
Domination in Graphs
Spectrum and Entropy for Infinite Directed Graphs
Application of Infinite Labeled Graphs to Symbolic Dynamical Systems
Decompositions and Factorizations of Complete Graphs
Geodetic Sets in Graphs
Graph Polynomials and Their Applications I: The Tutte Polynomial
Graph Polynomials and Their Applications II: Interrelations and Interpretations
Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations
Subgraph
ISBN:9780817647896
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Computational complexity , Data mining , Bioinformatics , Combinatorics
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Call number:SPRINGER-2009-9783642012846:ONLINE Show nearby items on shelf
Title:Adaptive Networks [electronic resource] : Theory, Models and Applications
Author(s): Thilo Gross
Hiroki Sayama
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:With adaptive, complex networks, the evolution of the network topology and the dynamical processes on the network are equally important and often fundamentally entangled. Recent research has shown that such networks can exhibit aplethora of new pheno mena which are ultimately required to describe many real-world networks. Some of those phenomena include robust self-organization towards dynamical criticality, formation of complex global topologies based onsimple, local rules, and the spontaneous divisi on of labor in which an initially homogenous population of network nodes self-organizes into functionally distinct classes. These are just a few. This book is a state-of-the-art surveyof those unique networks. In it, leading researchers set out to define the future scope and direction of some of the most advanced developments in the vast field of complex network science and its applications
Note:Springer eBooks
Contents:Preface
Adaptive Networks
Part I: Real
World Examples of Adaptive Networks
Part II: Self
Organization of Adaptive Networks
Part III: Contact Processes and Epidemiology on Adaptive Networks
Part IV: Social Games on Adaptive Networks
Part V: Graph
Rewriting
Based Approaches
ISBN:9783642012846
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Mathematics , Information systems , Biological models , Systems theory , Engineering
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Call number:SPRINGER-2009-9783540878292:ONLINE Show nearby items on shelf
Title:Mathematical Analysis of Urban Spatial Networks [electronic resource]
Author(s): Philippe Blanchard
Dimitri Volchenkov
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Cities can be considered to be among the largest and most complex artificial networks created by human beings. Due to the numerous and diverse human-driven activities, urban network topology and dynamics can differ quitesubstantially from that of nat ural networks and so call for an alternative method of analysis. The intent of the present monograph is to lay down the theoretical foundations for studying the topology of compact urban patterns, usingmethods from spectral graph theory and statistical ph ysics. These methods are demonstrated as tools to investigate the structure of a number of real cities with widely differing properties: medieval German cities, the webs of citycanals in Amsterdam and Venice, and a modern urban structure such as found in Manhattan. Last but not least, the book concludes by providing a brief overview of possible applications that will eventually lead to a useful body ofknowledge for architects, urban planners and civil engineers
Note:Springer eBooks
Contents:Complex Networks of Urban Environments
Wayfinding and Affine Representations of Urban Environments
Exploring Community Structure by Diffusion Processes
Spectral Analysis of Directed Graphs and Interacting Networks
Urban Area Networks and Beyond
ISBN:9783540878292
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Regional planning , Architecture , Mathematics , Engineering , Human Geography
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Call number:SPRINGER-2006-9780387312798:ONLINE Show nearby items on shelf
Title:Control of Spatially Structured Random Processes and Random Fields with Applications [electronic resource]
Author(s): Ruslan K Chornei
Hans Daduna
Pavel S Knopov
Date:2006
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop simultaneously in space and time under random influences. These processes are seen to occur almosteverywhere when studying the global behavior of complex systems, including physical and technical systems, population dynamics, neural networks, computer and telecommunication networks, complex production networks, flexible manufacturing systems, logistic networks and transpor tation systems, environmental engineering, climate modelling and prediction, earth surface models. Classical stochastic dynamic optimization forms theframework of the book. Taken as a whole, the project undertaken in the book is to establish optimality or near-optimality for Markovian policies in the control of spatiotemporal Markovian processes. The authors apply this generalprinciple to different frameworks of Markovian systems and processes. Depending on the structure of the systems and the surround ings of the model classes the authors arrive at different levels of simplicity for the policy classes whichencompass optimal or nearly optimal policies. A set of examples accompanies the theoretical findings, and these examples should demonstrate some imp ortant application areas for the theorems discussed. Audience This book is intended forexperts in applied mathematics, cybernetics, and in the theory of optimal control
Note:Springer eBooks
Contents:Preface
Acknowledgments
1. Introduction
2. Prerequisites from the theory of stochastic processes and stochastic dynamic optimization
3. Local control of discrete time interacting Markov processes with graph structured state space
4. Sequential stochastic games with distributed players on graphs
5. Local control of continuous time interacting Markov and semi
Markov processes with graph structured state space
6. Connections with optimization of random field in different areas
Bibliography
Index
ISBN:9780387312798
Series:e-books
Series:SpringerLink (Online service)
Series:Nonconvex Optimization and Its Applications, 1571-568X : v86
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Systems theory , Operations research , Distribution (Probability theory)
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Call number:SPRINGER-2004-9783642171031:ONLINE Show nearby items on shelf
Title:Classification, Clustering, and Data Mining Applications Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15–18 July 2004
Author(s):
Date:2004
Size:1 online resource (658 p.)
Note:10.1007/978-3-642-17103-1
Contents:I New Methods in Cluster Analysis -- Thinking Ultrametrically -- Clustering by Vertex Density in a Graph -- Clustering by Ant Colony Optimization -- A Dynamic Cluster Algorithm Based on Lr Distances for Quantitative Data -- The Last
Step of a New Divisive Monothetic Clustering Method: the Gluing-Back Criterion -- Standardizing Variables in K-means Clustering -- A Self-Organizing Map for Dissimilarity Data -- Another Version of the Block EM Algorithm -- Controlling
the Level of Separation of Components in Monte Carlo Studies of Latent Class Models -- Fixing Parameters in the Constrained Hierarchical Classification Method: Application to Digital Image Segmentation -- New Approaches for
Sum-of-Diameters Clustering -- Spatial Pyramidal Clustering Based on a Tessellation -- II Modern Nonparametrics -- Relative Projection Pursuit and its Application -- Priors for Neural Networks -- Combining Models in Discrete
Discriminant Analysis Through a Committee of Methods -- Phoneme Discrimination with Functional Multi-Layer Perceptrons -- PLS Approach for Clusterwise Linear Regression on Functional Data -- On Classification and Regression Trees for
Multiple Responses -- Subsetting Kernel Regression Models Using Genetic Algorithm and the Information Measure of Complexity -- Cherry-Picking as a Robustness Tool -- III Classification and Dimension Reduction -- Academic Obsessions and
Classification Realities: Ignoring Practicalities in Supervised Classification -- Modified Biplots for Enhancing Two-Class Discriminant Analysis -- Weighted Likelihood Estimation of Person Locations in an Unfolding Model for Polytomous
Responses -- Classification of Geospatial Lattice Data and their Graphical Representation -- Degenerate Expectation-Maximization Algorithm for Local Dimension Reduction -- A Dimension Reduction Technique for Local Linear Regression --
Reducing the Number of Variables Using Implicative Analysis -- Optimal Discretization of Quantitative Attributes for Association Rules -- IV Symbolic Data Analysis -- Clustering Methods in Symbolic Data Analysis -- Dependencies in
Bivariate Interval-Valued Symbolic Data -- Clustering of Symbolic Objects Described by Multi-Valued and Modal Variables -- A Hausdorff Distance Between Hyper-Rectangles for Clustering Interval Data -- Kolmogorov-Smirnov for Decision
Trees on Interval and Histogram Variables -- Dynamic Cluster Methods for Interval Data Based on Mahalanobis Distances -- A Symbolic Model-Based Approach for Making Collaborative Group Recommendations -- Probabilistic Allocation of
Aggregated Statistical Units in Classification Trees for Symbolic Class Description -- Building Small Scale Models of Multi-Entity Databases by Clustering -- V Taxonomy and Medicine -- Phylogenetic Closure Operations and Homoplasy-Free
Evolution -- Consensus of Classification Systems, with Adams’ Results Revisited -- Symbolic Linear Regression with Taxonomies -- Determining Horizontal Gene Transfers in Species Classification: Unique Scenario -- Active and Passive
Learning to Explore a Complex Metabolism Data Set -- Mathematical and Statistical Modeling of Acute Inflammation -- Combining Functional MRI Data on Multiple Subjects -- Classifying the State of Parkinsonism by Using Electronic Force
Platform Measures of Balance -- Subject Filtering for Passive Biometric Monitoring -- VI Text Mining -- Mining Massive Text Data and Developing Tracking Statistics -- Contributions of Textual Data Analysis to Text Retrieval --
Automated Resolution of Noisy Bibliographic References -- Choosing the Right Bigrams for Information Retrieval -- A Mixture Clustering Model for Pseudo Feedback in Information Retrieval -- Analysis of Cross-Language Open-Ended
Questions Through MFACT -- Inferring User’s Information Context from User Profiles and Concept Hierarchies -- Database Selection for Longer Queries -- VII Contingency Tables and Missing Data -- An Overview of Collapsibility --
Generalized Factor Analyses for Contingency Tables -- A PLS Approach to Multiple Table Analysis -- Simultaneous Rowand Column Partitioning in Several Contingency Tables -- Missing Data and Imputation Methods in Partition of Variables
-- The Treatment of Missing Values and its Effect on Classifier Accuracy -- Clustering with Missing Values: No Imputation Required
ISBN:9783642171031
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Culture , Library science , Data structures (Computer science) , Mathematical statistics , Computers , Statistics , Cultural and Media Studies , Library Science , Statistical Theory and Methods , Probability and Statistics in Computer Science , Information Systems and Communication Service , Data Structures , Statistics for Life Sciences, Medicine, Health Sciences
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