Given the huge amount of information on the Internet and in almost every domain of knowledge available today, knowledge discovery calls for automation. This book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge.

Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.

This volume contains revised versions of selected papers presented dur- ing the 23rd Annual Conference of the German Classification Society GfKl (Gesellschaft fiir Klassifikation). The conference took place at the Univer- sity of Bielefeld (Germany) in March 1999 under the title "Classification and Information Processing at the Turn of the Millennium." Researchers and practitioners - interested in data analysis, classification, and information processing in the broad sense, including computer science, multimedia, WWW, knowledge discovery, and data mining as well as spe- cial application areas...

The volume presents new developments in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant applications. Areas that receive considerable attention in the book are clustering, discrimination, data analysis, and statistics, as well as applications in economics, biology, and medicine it provides recent technical and methodological developments and a large number of application papers demonstrating the usefulness of the newly developed techniques.

Represents the research results in the field of Classification, Clustering, and Data Analysis. Besides the theoretical analysis, this work features papers that focus on various application fields such as Archaeology, Astronomy, Bio-Sciences, Electronic Data and Web, Finance and Insurance, Library Science and Linguistics, and Music Science.

The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

This volume contains the refereed papers of the 16th Annual Conference of the German Classification Society. The papers are organized into major sections on data analysis and classification, information retrieval, software, knowledge processing and applications.

This volume presents 45 articles dealing with theoretical aspects, methodo- logical advances and practical applications in domains relating to classifica- tion and clustering, statistical and computational data analysis, conceptual or terminological approaches for information systems, and knowledge struc- tures for databases. These articles were selected from about 140 papers presented at the 19th Annual Conference of the Gesellschaft fur Klassifika- tion, the German Classification Society. The conference was hosted by W. Polasek at the Institute of Statistics and Econometry of the University...

This volume contains revised versions of 43 papers presented during the 21st Annual Conference of the Gesellschaft fur Klassifikation (GfKl), the German Classification Society. The conference took place at the University of Pots dam (Germany) in March 1997; the local organizer was Prof. 1. Balderjahn, Chair of Business Administration and Marketing at Potsdam. The scientific program of the conference included 103 plenary and con tributed papers, software and book presentations as well as special (tutorial) courses. Researchers and practitioners interested in data analysis and clus tering...

The subject of this book is the analysis and processing of structural information or quantitative data, with a special emphasis on classification-related problems and methods. Various different approaches are presented including theoretical, statistical, structural, mathematical, conceptual, linguistic and computational aspects. These methodological investigations are completed by illustrative applications from practice, originating from quite different fields such as artificial intelligence, computer science, data bases, libraries, knowledge-based systems, medical diagnostics, molecular...