This volume contains the revised versions of selected papers presented during
the 30
th
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 aninternational 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.
The scientific program included a broad range of topics from classification
and data analysis. Interdisciplinary research and the interaction between theory and practice were particularly emphasized. The following sections (with
chairs in alphabetical order) were established:
I. Theory and Methods
Clustering and Classification (H.-H. Bock and T. Imaizumi); Exploratory
Data Analysis and Data Mining (M. Meyer and M. Schwaiger); Pattern
Recognition and Discrimination (G. Ritter); Visualization and Scaling Methods (P. Groenen and A. Okada); Bayesian, Neural, and Fuzzy Clustering
(R. Kruse and A. Ultsch); Graphs, Trees, and Hierarchies (E. Godehardt
and J. Hansohm); Evaluation of Clustering Algorithms and Data Structures
(C. Hennig); Data Analysis and Time Series Analysis (S. Lang); Data Cleaning
and Pre-Processing (H.-J. Lenz); Text and Web Mining (A. N¨ urnberger and
M. Spiliopoulou); Personalization and Intelligent Agents (A. Geyer-Schulz);
Tools for Intelligent Data Analysis (M. Hahsler and K. Hornik