This volume contains a selection of papers presented during the biennial meeting of the CLAssification and Data Analysis Group (CLADAG) of the Societa Italiana di Statistica which was orga- nized by the Istituto di Statistica of the Universita degli Studi di Palermo and held in the Palazzo Steri in Palermo on July 5-6, 2001. For this conference, and after checking the submitted 4- page abstracts, 54 papers were admitted for presentation. They covered a large range of topics from multivariate data analysis, with special emphasis on classification and clustering, computa- tional statistics,...
This volume contains a selection of papers presented during the biennial meeting of the CLAssification and Data Analysis Group (CLADAG) of the Societa...
Raymond Bisdorff CRP-GL, Luxembourg The development of the SODAS software based on symbolic data analysis was extensively described in the previous chapters of this book. It was accompanied by a series of benchmark activities involving some official statistical institutes throughout Europe. Partners in these benchmark activities were the National Statistical Institute (INE) of Portugal, the Instituto Vasco de Estadistica Euskal (EUSTAT) from Spain, the Office For National Statistics (ONS) from the United Kingdom, the Inspection Generale de la Securite Sociale (IGSS) from Luxembourg 1 and...
Raymond Bisdorff CRP-GL, Luxembourg The development of the SODAS software based on symbolic data analysis was extensively described in the previous ch...
Vladimir Batagelj Hans-Hermann Bock Anue!ka Ferligoj
Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage ...
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 presents 45 articles dealing with theoretical aspects, methodo- logical advances and practical applications in domains relating to classif...
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...
The subject of this book is the analysis and processing of structural information or quantitative data, with a special emphasis on classification-rela...