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High-Dimensional Discrete Data

Introduction

1st International Workshop: Analysis of High-Dimensional Discrete Data, New Delhi, 19-22 Mar 2008; Deadline 15 Oct 2007

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1st International Workshop
Analysis of high-dimensional discrete data (AH3D)

Workshop in Conjunction with DASFAA 2008
13th International Conference on Database Systems for Advanced Applications

19-22nd March, 2008, New Delhi, India

High-dimensional data typically takes the form of extracting correlations between data items, discovering meaningful information in data, clustering data items, and finding efficient representations for clustered data, classification, formal concept analysis, and event association. A common problem encountered in disciplines such as statistical data analysis, data analysis, signal processing, textual data representation, and neural network research, is finding a suitable representation of the data in the lower dimension space. Since the volume (and dimensionality) of data is typically large, the emphasis of new algorithms must be efficient and scalable to large data sets. Analysis of continuous attribute data generally takes the form of eigenvalue/singular value problems (PCA/rank reduction), clustering, least squares problems, etc. Analysis of discrete data sets, however, generally leads to hard problems, especially when physically interpretable results in discrete spaces are desired.

We therefore invite submission from research communities working on different theoretical and applicative aspects of data mining, especially those that are active in cutting-edge frontier topics. These include, but are not limited to:

  • binary factor analysis
  • market basked analysis
  • analysis of voting
  • analysis of capital market
  • economic analysis
  • clustering of semantic features
  • discovering pattern in the data
  • feature selection for high-dimensional data
  • formal concept analysis (FCA).

Important dates:

  • October 15, 2007 Submission of Full Papers
  • November 12, 2007 Notification of Papers Acceptance
  • December 10, 2007 All Camera-Ready Copies Due
  • March 19, 2008 Workshop

Workshop Format:

The full day workshop will consist of oral presentations, discussions, and invited talks. The workshop will also provide opportunity for demo sessions, where presenters can showcase advanced prototypes based on their research where applicable.

Submission of Papers:

The full paper submission is limited to fifteen (15) pages in length LNCS format. Papers must be submitted in PDF format. Simultaneous submission to another conference/workshop/journal is not allowed. Papers must be original and have not been published or under consideration for publications elsewhere. Papers will be reviewed by at least 3 program committee members for their technical merit, originality, significance, and relevance to the workshop. For paper registration and electronic submission please see

Workshop Proceedings:

The workshop proceedings are to be published as part of Springer Verlag’s Lecture Notes in Computer Science series. After the workshop, selected papers may have an opportunity to be invited to submit an extended version of the paper to an International Journal.

Program Committee:

  • Chair – Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic
  • Co-chair – Dusan Husek, Institute of Computer Science, Academy of Science, Czech Republic
  • Jaromir Antoch, Charles University, Prague, Czech Republic
  • Anna Bartkowiak, University of Wroclaw, Poland
  • Michael W. Berry, University of Tennessee, USA
  • Slavka Bodjanova, Texas A&M University – Kingsville, Texas, USA
  • Alfredo Cuzzocrea, University of Calabria, Italy
  • Eyas El-Qawasmeh, Jordan University of Science and Technology, Jordan
  • Alexander A. Frolov, Institute of Higher Nervous Activity and Neurophysiology,Russian Academy of Science, Moscow, Russia
  • Roland Kaschek, Messey University, New Zealand
  • Pavel Moravec, VSB-Technical University of Ostrava, Czech Republic
  • Pit Pichappan, Annamalai University, India
  • Jaroslav Pokorny, Charles University, Czech Republic
  • Hana Rezankova, University of Economics, Prague, Czech Republic
  • Bernardete Ribeiro, University of Coimbra – CISUC , Porto, Portugal
  • Khalid Saeed, Bialystok Technical University, Poland
  • Gilbert Saporta, CNAM, Paris, France
  • Athena Vakali, Aristotle University, Greece
  • Katarzyna Wegrzyn-Wolska, ESIGETEL, Avon-Fontainebleau, France