Advances in Data Analysis and Classification


Advances in Data Analysis and Classification

Publisher: Springer Berlin / Heidelberg

The international journal Advances in Data Analysis and Classification
(ADAC) is designed as a forum for high standard publications on research and
applications concerning the extraction of knowable aspects from whatever
types of data.

It publishes articles on topics as, e.g.,

* Structural, quantitative, or statistical approaches for the analysis of
* Advances in classification, clustering, and pattern recognition methods,
* Strategies for modeling complex data and mining large data sets,
* Methods for the extraction of knowledge from whatever type of data, and
* Applications of advanced methods in specific domains of practice.

In particular, this comprises the consideration and handling of new data
types as well as the analysis of complex structures such as text data and
webfiles. Whereas the discussion of theoretical, statistical, or algorithmic
advances in methodology is a major issue (e.g., in classification and
clustering), the journal encourages strongly the publication of applications
that illustrate how new domain-specific knowledge can be made available from
data by skillful use of data analysis methods.

In addition to contributed papers on specific topics, the journal also
publishes survey papers that outline, and illuminate, the basic ideas and
techniques of special approaches. On occasion, specialized topics will be
presented in a special issue. The journal is supported by several scientific
societies which aim to foster the area of classification and data analysis.

ISSN: 1862-5347 (print version)
ISSN: 1862-5355 (electronic version)



Hans-Hermann Bock (Coordinating Editor)
Institute of Statistics
RWTH Aachen University
Wüllnerstr. 3
52056 Aachen, Germany


Wolfgang Gaul
Institut für Entscheidungstheorie und Unternehmensforschung
Universität Karlsruhe
Postfach 6980
76128 Karlsruhe, Germany


Akinori Okada
Department of Business
College of Business
Rikkyo (St. Paul's) University
3-34-1 Nishi Ikebukuro
Toshima-ku, Tokyo 171-8501, Japan


Maurizio Vichi
Dip. di Statistica, Probabilità e Statistiche Applicate
Università 'La Sapienza' di Roma
Piazzale Aldo Moro, 5
00185 Roma, Italy


Content available by subscription. Free sample content available online.

Abstracts available online. Articles available in PDF format.

Current Issue: Volume 1, Number 1 / March 2007

Date: 2 May 2007

Original posting date: 
Wednesday, May 2, 2007
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