Selected Contributions in Data Analysis and Classification

ISBN-13: 9783540735588 / Angielski / Miękka / 2007 / 652 str.

Patrice Bertrand; Guy Cucumel; Francisco De Carvalho

Opis

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.

Spis treści

Analysis of Symbolic Data.- Dependencies and Variation Components of Symbolic Interval-Valued Data.- On the Analysis of Symbolic Data.- Symbolic Analysis to Learn Evolving CyberTraffic.- A Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Hausdorff Distance.- An Agglomerative Hierarchical Clustering Algorithm for Improving Symbolic Object Retrieval.- 3WaySym-Scal: Three-Way Symbolic Multidimensional Scaling.- Clustering and Validation of Interval Data.- Building Symbolic Objects from Data Streams.- Feature Clustering Method to Detect Monotonic Chain Structures in Symbolic Data.- Symbolic Markov Chains.- Quality Issues in Symbolic Data Analysis.- Dynamic Clustering of Histogram Data: Using the Right Metric.- Clustering Methods.- Beyond the Pyramids: Rigid Clustering Systems.- Indirect Blockmodeling of 3-Way Networks.- Clustering Methods: A History of k-Means Algorithms.- Overlapping Clustering in a Graph Using k-Means and Application to Protein Interactions Networks.- Species Clustering via Classical and Interval Data Representation.- Looking for High Density Zones in a Graph.- Block Bernoulli Parsimonious Clustering Models.- Cluster Analysis Based on Posets.- Hybrid k-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR.- Partitioning by Particle Swarm Optimization.- Conceptual Analysis of Data.- Concepts of a Discrete Random Variable.- Mining Description Logics Concepts with Relational Concept Analysis.- Representation of Concept Description by Multivalued Taxonomic Preordonance Variables.- Recent Advances in Conceptual Clustering: CLUSTER3.- Symbolic Dynamics in Text: Application to Automated Construction of Concept Hierarchies.- Consensus Methods.- Average Consensus and Infinite Norm Consensus : Two Methods for Ultrametric Trees.- Consensus from Frequent Groupings.- Consensus of Star Tree Hypergraphs.- Data Analysis, Data Mining, and KDD.- Knowledge Management in Environmental Sciences with : Application to Systematics of Corals of the Mascarene Archipelago.- Unsupervised Learning Informational Limit in Case of Sparsely Described Examples.- Data Analysis and Operations Research.- Reduction of Redundant Rules in Statistical Implicative Analysis.- Mining Personal Banking Data to Detect Fraud.- Finding Rules in Data.- Mining Biological Data Using Pyramids.- Association Rules for Categorical and Tree Data.- Induction Graphs for Data Mining.- Dissimilarities: Structures and Indices.- Clustering of Molecules: Influence of the Similarity Measures.- Group Average Representations in Euclidean Distance Cones.- On Lower-Maximal Paired-Ultrametrics.- A Note on Three-Way Dissimilarities and Their Relationship with Two-Way Dissimilarities.- One-to-One Correspondence Between Indexed Cluster Structures and Weakly Indexed Closed Cluster Structures.- Adaptive Dissimilarity Index for Gene Expression Profiles Classification.- Lower (Anti-)Robinson Rank Representations for Symmetric Proximity Matrices.- Density-Based Distances: a New Approach for Evaluating Proximities Between Objects. Applications in Clustering and Discriminant Analysis.- Robinson Cubes.- Multivariate Statistics.- Relative and Absolute Contributions to Aid Strata Interpretation.- Classification and Generalized Principal Component Analysis.- Locally Linear Regression and the Calibration Problem for Micro-Array Analysis.- Sanskrit Manuscript Comparison for Critical Edition and Classification.- Divided Switzerland.- Prediction with Confidence.- Which Bootstrap for Principal Axes Methods?.- PCR and PLS for Clusterwise Regression on Functional Data.- A New Method for Ranking n Statistical Units.- About Relational Correlations.- Dynamic Features Extraction in Soybean Futures Market of China.