This collection considers issues of ′classification′, ′cluster analysis′ and ′data mining′ together, presenting a range of existing work together in an accessible way, and demonstrating a methodological phase-shift in the kind of data analysis that is currently taking place, nationally and internationally.

VOLUME ONE: THE CLASSICS Introduction - David Byrne and Emma Uprichard The Distinctiveness of Case-Oriented Research - C. Ragin The Causal Devolution - A. Abbott A Tradition of Natural Kinds - I. Hacking How "Natural" are "Kinds" of Sexual Orientation?′ - I. Hacking The Logic of Classification - W. L. Davidson On the Logic of Classification - G. Sandri Scientific Classification - J. Dupré How things Work - G. Bowker How Real are Statistics? Four Possible Attitudes - A. Desrosières EXTRACTS FROM The Growth of Cluster Analysis: Tryon, Ward, and Johnson - R. Blashfield The Continuing Search for Order - R. Sokal Phenetic Taxonomy: Theory and Methods - R. Sokal Principles of Clustering - W. T. Williams A Quantitative Approach to a Problem in Classification - C. Michener and R. Sokal Representation of Similarity Matrices by Trees - J. A. Hartigan Data Clustering: A Review - A. Jain, M. Murty and P. Flynn VOLUME TWO: (USEFUL) KEY TEXTS Introduction - David Byrne and Emma Uprichard Cluster Analysis in Perspective - D. Speece The Practice of Cluster Analysis - J. Kettering A Review of Classification - R. Cormack Sociological Classification and Cluster Analysis - K. Bailey Cluster Analysis - K. Bailey Literature on Cluster-Analysis - R. K. Blashfield and M. S. Aldenderfer Distance as a Measure of Taxonomic Similarity - R. Sokal Efficiency in Taxonomy - R. Sokal and P. Sneath Numerical Taxonomy: Points of View - R. Sokal et al Hierarchical Grouping to Optimize an Objective Function - J. Ward An Examination of Procedures for Determining the Number of Clusters in a Data Set - G. Milligan A Comparison of Some Methods of Cluster Analysis - J. C. Gower A Nearest Centroid Technique for Evaluating the Minimum-variance Clustering Procedure - R. M. McIntyre and R. K. Blashfield Measurement Problems in Cluster Analysis - D. G. Morrison Unresolved Problems in Cluster Analysis - B. Everitt VOLUME THREE: CLUSTER ANALYSIS IN PRACTICE Introduction - David Byrne and Emma Uprichard The Use and Reporting of Cluster Analysis in Health Psychology: A Review - J. Clatworthy et al Cluster Analysis in Illness Perception Research: A Monte Carlo Study to Identify the Most Appropriate Method - J. Clatworthy et al The Psychiatric and Criminal Careers of Mentally Disordered Offenders Referred to a Custody Diversion Team in the United Kingdom - W. Dyer Fuzzy Cluster Analysis of Molecular Dynamics Trajectories - H. Gordon and R. Somorjai Mosaic: From an Area Classification System to Individual Classification - R. Webber and Farr Creating the UK National Statistics 2001 Output Area Classification - D. Vickers and P. Rees Spatial Analysis Using Clustering Methods: Evaluating Central Point and Median Approaches - A. Murray Use of Multiple Correspondence Analysis and Cluster Analysis to Study Dietary Behaviour: Food Consumption Questionnaire in the Su.Vi.Max. Cohort - C. Guinot et al Shopping-related Attitudes: a Factor and Cluster Analysis of Northern California Shoppers - P. Mokhtarian, D. Ory and X. Cao Combining Cluster and Discriminant Analysis to Develop a Social Bond Topology of Runaway Youth - A. Cherry Heirarchical Clustering via Joint Between-Within Distances: Extending Ward′s Minimum Variance Method - G. Szekely and M. Rizzo Fuzzy Classification in Dynamic Environments - A. Bouchachia A Multistep Unsupervised Fuzzy Clustering Analysis of fMRI Time Series - M. Fadili et al A Note on K-modes Clustering - Z. Huang and M. Ng Using Self-Similarity to Cluster Large Data Sets - D. Barbará and P. Chen A Taxonomy of Similarity Mechanisms for Case-Based Reasoning - P. Cunningham Using Case-based Approaches to Analyse Large Datasets: A Comparison of Ragin′s fsQCA and Fuzzy Cluster Analysis - B. Cooper and J. Glaesser A Comparison of Cluster Analysis Techniques within a Sequential Validation Framework - L. Morey, R. Blashfield and H. Skinner VOLUME FOUR: DATA MINING WITH CLASSIFICATION Introduction - David Byrne and Emma Uprichard Data Mining for Fun and Profit - D. Hand et al Cluster Analysis using Data Mining Approach to Develop CRM Methodology to Assess the Customer Loyalty - S. Hosseini Techniques of Cluster Algorithms in Data Mining - J. Grabner and A. Rudolph Data-Mining Discovery of Pattern and Process in Ecological Systems - M. Wesley et al Data Mining in Soft Computing Framework: A Survey - Sushmita Mitra, Sankar K. Pal and Pabitra Mitra Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches - Ira S. Rubinstein, Ronald D. Lee and P. Schwartz Statistical Classification Methods in Consumer Credit Scoring: A Review - D. Hand and W. Henley Data Mining: An Overview from a Database Perspective - Ming-Syan Chen, Jiawei Han and Philip S. Yu 50 Years of Data Mining and OR: Upcoming trends and Challenges - B. Baesens et al A General Framework for Mining Massive Data Streams - P. Domingos and G. Hulten Confidence in Classification: A Bayesian Approach - W. Krazanowski et al Visualization Techniques for Mining Large Databases: A Comparison - Daniel Keim and Kriegel Hans-Peter Visualization of Fuzzy Clusters by Fuzzy Sammon Mapping Projection: Application to the Analysis of Phase Space Trajectories - B. Feil, B. Balasko and J. Abonyi Spatial-Temporal Data Mining Procedure: LASR - Xiaofeng Wang Turning Datamining into a Management Science Tool: New Algorithms and Empirical Results - Lee Cooper and Giovanni Giuffrida Data Mining of Massive Datasets in Healthcare - C. Goodall Conclusion - David Byrne and Emma Uprichard