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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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