Selected Contributions in Data Analysis and Classification (eBook)

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2007 | 2007
XIII, 635 Seiten
Springer Berlin (Verlag)
978-3-540-73560-1 (ISBN)

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This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.

Foreword 6
Preface 8
Contents 10
Analysis of Symbolic Data 15
Dependencies and Variation Components of Symbolic Interval- Valued Data 16
On the Analysis of Symbolic Data 26
Symbolic Analysis to Learn Evolving CyberTraffic 36
A Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Hausdorff Distance 47
An Agglomerative Hierarchical Clustering Algorithm for Improving Symbolic Object Retrieval 57
3WaySym-Scal: Three-Way Symbolic Multidimensional Scaling 66
Clustering and Validation of Interval Data 79
Building Symbolic Objects from Data Streams 92
Feature Clustering Method to Detect Monotonic Chain Structures in Symbolic Data 104
Symbolic Markov Chains 112
Quality Issues in Symbolic Data Analysis 121
Dynamic Clustering of Histogram Data: Using the Right Metric 131
Clustering Methods 143
Beyond the Pyramids: Rigid Clustering Systems 144
Indirect Blockmodeling of 3-Way Networks 158
Clustering Methods: A History of k- Means Algorithms 167
Overlapping Clustering in a Graph Using k- Means and Application to Protein Interactions Networks 179
Species Clustering via Classical and Interval Data Representation 189
Looking for High Density Zones in a Graph 198
Block Bernoulli Parsimonious Clustering Models 207
Cluster Analysis Based on Posets 217
Hybrid k-Means: Combining Regression-Wise and Centroid- Based Criteria for QSAR 228
Partitioning by Particle Swarm Optimization 237
Conceptual Analysis of Data 247
Concepts of a Discrete Random Variable 248
Mining Description Logics Concepts with Relational Concept Analysis 260
Representation of Concept Description by Multivalued Taxonomic Preordonance Variables 272
Recent Advances in Conceptual Clustering: CLUSTER3 286
Symbolic Dynamics in Text: Application to Automated Construction of Concept Hierarchies 299
Consensus Methods 307
Average Consensus and Infinite Norm Consensus : Two Methods for Ultrametric Trees 308
Consensus from Frequent Groupings 315
Consensus of Star Tree Hypergraphs 323
Data Analysis, Data Mining, and KDD 328
Knowledge Management in Environmental Sciences with IKBS: Application to Systematics of Corals of the Mascarene Archipelago 329
Unsupervised Learning Informational Limit in Case of Sparsely Described Examples 340
Data Analysis and Operations Research 351
Reduction of Redundant Rules in Statistical Implicative Analysis 361
Mining Personal Banking Data to Detect Fraud 371
Finding Rules in Data 381
Mining Biological Data Using Pyramids 391
Association Rules for Categorical and Tree Data 403
Induction Graphs for Data Mining 412
Dissimilarities: Structures and Indices 424
Clustering of Molecules: Influence of the Similarity Measures 425
Group Average Representations in Euclidean Distance Cones 437
On Lower-Maximal Paired-Ultrametrics 447
A Note on Three-Way Dissimilarities and Their Relationship with Two- Way Dissimilarities 457
One-to-One Correspondence Between Indexed Cluster Structures and Weakly Indexed Closed Cluster Structures 468
Adaptive Dissimilarity Index for Gene Expression Profiles Classification 474
Lower (Anti-)Robinson Rank Representations for Symmetric Proximity Matrices 486
Density-Based Distances: a New Approach for Evaluating Proximities Between Objects. Applications in Clustering and Discriminant Analysis 496
Robinson Cubes 506
Multivariate Statistics 515
Relative and Absolute Contributions to Aid Strata Interpretation 516
Classification and Generalized Principal Component Analysis 527
Locally Linear Regression and the Calibration Problem for Micro- Array Analysis 537
Sanskrit Manuscript Comparison for Critical Edition and Classification 544
Divided Switzerland 554
Prediction with Confidence 564
Which Bootstrap for Principal Axes Methods? 568
PCR and PLS for Clusterwise Regression on Functional Data 576
A New Method for Ranking n Statistical Units 586
About Relational Correlations 595
Dynamic Features Extraction in Soybean Futures Market of China 605
Index 614

Erscheint lt. Verlag 16.8.2007
Reihe/Serie Studies in Classification, Data Analysis, and Knowledge Organization
Zusatzinfo XIII, 635 p.
Verlagsort Berlin
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik
Schlagworte algorithms • classification • cluster analysis • Clustering • Data Analysis • Data Mining • Dissimilarity Analysis • Knowledge Discovery • knowledge management • learning • Multivariate Statistics • Operations Research • Optimization • Principal Component Analysis • Random Variable • Statistics
ISBN-10 3-540-73560-7 / 3540735607
ISBN-13 978-3-540-73560-1 / 9783540735601
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