International Federation of Classification Societies

The IFCS is a non-profit and non-political scientific organization which promotes the dissemination of technical and scientific information concerning data analysis, classification, related methods, and their applications. Thus far there are 13 IFCS Member Societies.

The 11th Biennial Conference of the International Federation of Classification Societies (IFCS) will take place at the University of Technology of Dresden, Germany, March 13-18, 2009, in combination with the 33rd annual conference of the German Classification Society - Gesellschaft für Klassifikation (GfKl).

Panorama von Dresden

The conference will focus on classification and data analysis as tools for research in various applications. The scientific program will include sessions with invited talks and contributed presentations from a broad range of topics. Special emphasis will be laid on interdisciplinary research and the interaction between theory and practice. Researchers and practitioners are kindly invited to submit papers for presentation.

The following sections are planned (organizers in brackets):

Theory and Methods:

  • Analysis of Large and Complex Data (Vichi)
  • Clustering and Classification (Bock, Fichet)
  • Data Analysis Software (Ligges)
  • Data Cleaning and Pre-Processing (Weihs)
  • Exploratory Data Analysis (Cerioli)
  • Information Extraction and Retrieval (Schmidt-Thieme)
  • Knowledge Discovery in Data Bases (Ultsch)
  • Mixture Analysis (Montanari, Seidel)
  • Pattern Recognition and Machine Learning (Buhmann, Ritter, Burkhardt)
  • Visualization (Groenen)

Applications of Clustering, Classification, and Data Analysis:

  • Archaeology and Historical Geography (Herzog, Kerig, Posluschny)
  • Banking and Finance (Jajuga)
  • Biostatistics and Bioinformatics (Benner, Boulesteix)
  • Criminology and Fraud Detection (Adams, Pociecha)
  • Image and Signal Processing (Buhmann)
  • Linguistics (Rolshoven)
  • Marketing and Management Science (Baier)
  • Medical and Health Sciences (Lausen, Lee)
  • Production Engineering (Mehnen)
  • Psychology and Education (Krolak-Schwerdt)
  • Social Sciences (Ferligoj, Okada)
  • Spatial Planning (Behnisch)
  • Subject Indexing and Library Science (Hermes, Lorenz)
  • Statistical Musicology (Weihs)
  • Text Mining (Nuernberger)
  • Web Mining (Gaul)

Invited and Special Interest Sessions:

  • Business Informatics (Esswein, Strahringer)
  • Business Intelligence (Hilbert)
  • Classification approaches for symbolic data (Verde)
  • Clustering in networks (Batagelj)
  • Clustering in reduced space (Ceulemans, Timmerman)
  • Correspondence Analysis and Related Methods (Groenen, Greenacre, Blasius)
  • Data stream mining (Hebrail)
  • Graph-theoretical methods for clustering (Bock)
  • Model-based Clustering Methods (Hennig)
  • Modelling genome wide data in clinical research (Lausen)
  • Multicriteria Optimization (Trautmann)
  • Spatial Classification (Brenning)
  • Statistical Methods for Non-Standard Data (Billard)
  • Two-way clustering and applications (Bock, Vichi)

Invited speakers and their topics:

  • Sanjoy Dasgupta (USA): Performance guarantees for hierarchical clustering
  • Alain Guenoche (F): String distances for complete genome phylogeny
  • Josef Kittler (GB): Data quality dependent decision making in pattern classification
  • Anssi Klapuri (FIN): Signal processing for music transcription
  • Ulrike von Luxburg (D): Theoretic Analysis of Clustering Stability: Positive and Negative Results
  • Boris Mirkin (GB): Tree-mapping evolutionary events and clustering
  • Lars Schmidt-Thieme (D): Object Identification
  • William Shannon (USA): Functional data analysis for analyzing actigraphy patterns in sleep medicine
  • Naftali Tishby (IL): Predictive clustering and the optimal perception-action cycle
  • Alfred Ultsch (D): Benchmarking Methods for the Identification of Differentially Expressed Genes
  • Vincenzo Vinzi (I): PLS Path Modeling and PLS Regression: a Joint PLS approach to Formative Constructs in Structural Equation Models

Papers of the conference will be published in a postconference proceedings volume in the series ‘Studies in Classification, Data Analysis and Knowledge Organization’ with Springer Verlag after having passed a refereeing process. Among the papers submitted to the proceedings, GfKl will grant two awards: an overall best paper award as well as a special best paper award for young researchers.


Our Research Fellowships are supported by


Special issues of the journals ‘Advances in Data Analysis and Classification (ADAC)’ and ‘Journal of Classification’ (JoC) are planned for select IFCS 2009 papers. More information will be available at the conference. The conference starts on March 13, 2009 with several tutorials. Conference language is English (German only in special GfKl sessions). Participants intending to present a talk are invited to submit an abstract. All abstracts will undergo a reviewing process. Accepted abstracts will be distributed to the conference participants at the conference.

IFCS@GfKl 2009 is hosted by the University of Technology of Dresden, one of the largest and most renowned universities in the eastern states of Germany. Dresden is the capital of the Free State of Saxony and offers a wide variety of attractions. No book about the history of architecture can ignore the Dresden Zwinger, the Frauenkirche Church, Semper Opera House, and Royal Palace. Magnificent promenades on the bank of the Elbe, interesting museums and institutions, industrial monuments, charming details - Dresden has a lot to discover.

Location:
Faculty of Economics and Management,
Dresden University of Technology,
D-01062 Dresden,