| The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. It covers a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining. Furthermore, the book reports challenging applications in marketing and management science, banking and finance, bio- and health sciences, linguistics and text analysis, statistical musicology and sound classification, as well as archaeology. Special emphasis is put on interdisciplinary research and the interaction between theory and practice.
This volume contains the revised versions of selected papers presented during the 30th Annual Conference of the German Classification Society (Gesellschaft f¨ur Klassifikation – GfKl) on “Advances in Data Analysis”. The conference was held at the Freie Universit¨at Berlin, Germany, in March 2006. The scientific program featured 7 parallel tracks with more than 200 contributed talks in 63 sessions. Additionally, thanks to the support of the DFG (German Research Foundation), 18 plenary and semi-plenary speakers from Europe and overseas could be invited to talk about their current research in classification and data analysis. With 325 participants from 24 countries in Europe and overseas this GfKl Conference, once again, provided an international forum for discussions and mutual exchange of knowledge with colleagues from different fields of interest. From altogether 115 full papers that had been submitted for this volume 77 were finally accepted. |
