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Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization)

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This volume contains a refereed selection of papers presented during the 10th Jubilee Conference of the International Federation of Classification Societies (IFCS) on Data Science and Classification held at the Faculty of Social Sciences of the University of Ljubljana in Slovenia, July 25-29, 2006. Papers submitted for the conference were subjected to a careful reviewing process involving at least two reviewers per paper. As a result of this reviewing process, 37 papers were selected for publication in this volume.

The book presents recent advances in data analysis, classification and clustering from methodological, theoretical, or algorithmic points of view. It shows how data analysis methods can be applied in various subject-specific domains. Areas that receive particular attention in this book are similarity and dissimilarity analysis, discrimination and clustering, network and graph analysis, and the processing of symbolic data. Special sections are devoted to data and web mining and to the application of data analysis methods in quantitative musicology and microbiology. Readers will find a fine selection of recent technical and application-oriented papers that characterize the current developments in data science and classification. The combination of new methodological advances with the wide range of real applications collected in this volume will be of special value for researchers when choosing appropriate newly developed analytical tools for their research problems in classification and data analysis.

The editors are grateful to the authors of the papers in this volume for their contributions and for their willingness to respond so positively to the time constraints in preparing the final versions of their papers. Without their work there would be no book.We are especially grateful to the referees – listed at the end of this book – who reviewed the submitted papers. Their careful reviews helped us greatly in selecting the papers included in this volume.

We also thank Dr. Martina Bihn and the staff of Springer-Verlag, Heidelberg for their support and dedication for publishing this volume in the series Studies in Classification, Data Analysis, and Knowledge Organization.
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