Selected Contributions in Data Analysis and Classification

by Brito, Paula; Bertrand, Patrice; Cucumel, Guy; Carvalho, Francisco De; Escoufier, Yves

• ISBN13: 9783540735588
• ISBN10: 3540735585
• eBook ISBN(s): 9783540735601
• Format: Paperback
• Copyright: 2007-11-03
• Publisher: Springer Nature
• More Book Details
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Summary

This volume presents recent methodological developments in data analysis and classification. A wide range of topics is covered that includes methods for classification and clustering, dissimilarity analysis, graph analysis, consensus methods, conceptual analysis of data, analysis of symbolic data, statistical multivariate methods, data mining and knowledge discovery in databases. Besides structural and theoretical results, the book presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, bank fraud detection, and text analysis. Combining new methodological advances with a wide variety of real applications, this volume is certainly of special value for researchers and practitioners, providing new analytical tools that are useful in theoretical research and daily practice in classification and data analysis.

Table of Contents

Analysis of Symbolic Data
Dependencies and Variation Components of Symbolic Interval-Valued Data	p. 3
On the Analysis of Symbolic Data	p. 13
Symbolic Analysis to Learn Evolving CyberTraffic	p. 23
A Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Hausdorff Distance	p. 35
An Agglomerative Hierarchical Clustering Algorithm for Improving Symbolic Object Retrieval	p. 45
3WaySym-Scal: Three-Way Symbolic Multidimensional Scaling	p. 55
Clustering and Validation of Interval Data	p. 69
Building Symbolic Objects from Data Streams	p. 83
Feature Clustering Method to Detect Monotonic Chain Structures in Symbolic Data	p. 95
Symbolic Markov Chains	p. 103
Quality Issues in Symbolic Data Analysis	p. 113
Dynamic Clustering of Histogram Data: Using the Right Metric	p. 123
Clustering Methods
Beyond the Pyramids: Rigid Clustering Systems	p. 137
Indirect Blockmodeling of 3-Way Networks	p. 151
Clustering Methods: A History of [kappa]-Means Algorithms	p. 161
Overlapping Clustering in a Graph Using [kappa]-Means and Application to Protein Interactions Networks	p. 173
Species Clustering via Classical and Interval Data Representation	p. 183
Looking for High Density Zones in a Graph	p. 193
Block Bernoulli Parsimonious Clustering Models	p. 203
Cluster Analysis Based on Posets	p. 213
Hybrid [kappa]-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR	p. 225
Partitioning by Particle Swarm Optimization	p. 235
Conceptual Analysis of Data
Concepts of a Discrete Random Variable	p. 247
Mining Description Logics Concepts with Relational Concept Analysis	p. 259
Representation of Concept Description by Multivalued Taxonomic Preordonance Variables	p. 271
Recent Advances in Conceptual Clustering: Cluster3	p. 285
Symbolic Dynamics in Text: Application to Automated Construction of Concept Hierarchies	p. 299
Consensus Methods
Average Consensus and Infinite Norm Consensus: Two Methods for Ultrametric Trees	p. 309
Consensus from Frequent Groupings	p. 317
Consensus of Star Tree Hypergraphs	p. 325
Data Analysis, Data Mining, and KDD
Knowledge Management in Environmental Sciences with IKBS: Application to Systematics of Corals of the Mascarene Archipelago	p. 333
Unsupervised Learning Informational Limit in Case of Sparsely Described Examples	p. 345
Data Analysis and Operations Research	p. 357
Reduction of Redundant Rules in Statistical Implicative Analysis	p. 367
Mining Personal Banking Data to Detect Fraud	p. 377
Finding Rules in Data	p. 387
Mining Biological Data Using Pyramids	p. 397
Association Rules for Categorical and Tree Data	p. 409
Induction Graphs for Data Mining	p. 419
Dissimilarities: Structures and Indices
Clustering of Molecules: Influence of the Similarity Measures	p. 433
Group Average Representations in Euclidean Distance Cones	p. 445
On Lower-Maximal Paired-Ultrametrics	p. 455
A Note on Three-Way Dissimilarities and Their Relationship with Two-Way Dissimilarities	p. 465
One-to-One Correspondence Between Indexed Cluster Structures and Weakly Indexed Closed Cluster Structures	p. 477
Adaptive Dissimilarity Index for Gene Expression Profiles Classification	p. 483
Lower (Anti-) Robinson Rank Representations for Symmetric Proximity Matrices	p. 495
Density-Based Distances: a New Approach for Evaluating Proximities Between Objects. Applications in Clustering and Discriminant Analysis	p. 505
Robinson Cubes	p. 515
Multivariate Statistics
Relative and Absolute Contributions to Aid Strata Interpretation	p. 527
Classification and Generalized Principal Component Analysis	p. 539
Locally Linear Regression and the Calibration Problem for Micro-Array Analysis	p. 549
Sanskrit Manuscript Comparison for Critical Edition and Classification	p. 557
Divided Switzerland	p. 567
Prediction with Confidence	p. 577
Which Bootstrap for Principal Axes Methods?	p. 581
PCR and PLS for Clusterwise Regression on Functional Data	p. 589
A New Method for Ranking n Statistical Units	p. 599
About Relational Correlations	p. 609
Dynamic Features Extraction in Soybean Futures Market of China	p. 619
Index	p. 629
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