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The 21st ACM Symposium on Applied Computing
23-27 April 2006, Dijon, France
Special Track on Data Mining


Previous Editions
at 18th SAC
at 19th SAC
at 20th SAC

SAC 2006
Over the past twenty one years, the ACM Symposium on Applied Computing (SAC) has become a premier forum for applied computer scientists and application developers from around the world to interact and present their work. SAC 2006 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP) and is presented in cooperation with other ACM Special Interest Groups.

For additional information, visit the SAC 2006 web page at

Special Track on Data Mining
Data mining has become a popular way of discovering new knowledge from large and complex data sets such as business transaction data, GIS data, environmental data, genomic data, text and web data, and so on.

Recent interests in combining data mining technology with database management systems, and extending XML to support data mining offer significant promises for modern applications that require the support of declarative and ad hoc querying in an increasingly distributed and heterogeneous environment . These emerging applications pose new challenges and demand novel solutions. Researchers have realized that fusing techniques from machine learning, statistics, information theory into data mining will result in clear benefits and enhance the state of the art in data mining. The goal of this track, thus, is to encourage researchers and practitioners to address some of these challenges, help cross fertilization of ideas among different focus groups and provide a common forum for the exchange of ideas in an informal environment.

This year SAC Data Mining track will have an emphasis on database technology for data mining as well as applications of machine learning, statistics and information theory in data mining. We encourage novel developments in data mining foundations and principles, and issues related to declarative data preprocessing (e.g., data cleaning, discretization and sampling). Additionally, we encourage submissions addressing new applications of data mining.

As part of the SAC 2006 track on Data Mining, we solicit original research papers in all areas of data mining with a special interest in the following topics:

  • Data mining models
  • Declarative and algebraic languages for data mining, optimization techniques
  • Integration of database languages such as SQL and XML with data mining. Inductive databases
  • Coupling between database, data warehouse and data mining systems. Data Mining from Multi sources
  • Pre-processing and post-processing, data transformations, incremental mining, knowledge-base refinement
  • Foundational concepts for exploratory data analysis such as hypothesis testing, inference to causes, prediction
  • Statistical techniques for generation of a robust, consistent data model
  • Model scoring, meta learning, meta-data model management
  • Privacy preserving data mining models and algorithms
  • Novel applications of data mining (e.g., in biology, web and science)

Submission of papers
Papers should represent original and previously unpublished ideas that are currently not under review in any conference or journal. A paper can be submitted to only one SAC track. Both basic and applied research papers are solicited. Papers describing novel applications and making significant research contributions are also of interest.

Submitted papers should not be more than 4000 words long. Papers should be no longer than 8 pages, and should be in the ACM two-column page format (the same for camera ready submissions). Papers that fail to comply with length limitations risk rejection. Electronic submission in PDF format is preferred, but Word and Postscript will also be accepted. Please note that hard copy and fax submissions will not be accepted.

All submissions must be through the conference submission site at . The first thing an author must do is register. Once you have submitted the paper registration form, you will receive a confirmation email. Your paper will be assigned a paper identification number. Please take note of it (you will later use this number to name the file containing your paper. Ex: nnn.pdf where "nnn" is your paper identification number). After registering you can log in and submit abstract and paper, edit abstract, resubmit the paper. The author(s) name(s) and address(es) must not appear in the body of the submitted paper, and self-reference should be in the third person. This is to facilitate blind review. Once reviews are completed, the system will allow you to view reviews and, if the paper is accepted, submit the camera ready version.

Enquiries and questions on the paper submission system eCMS should be directed to Jeffrey T. Allen ( while questions on the Data Mining Track may be directed to the Track Chairs. Additional details are available at the conference home page at and at the track home page at

Final Version
Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. Hence, all accepted papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. The maximum number of pages allowed for the final papers is 5 pages, with the option, at additional expense, to add three (3) more pages.

Poster Publication of Selected Papers
A set of selected papers, will be accepted as shorter, poster papers and will be published as extended 2-page abstracts in the symposium proceedings.

Important Dates
Paper Submission: September 3, 2005
Author notification: October 15, 2005
Camera-Ready Copy: November 5, 2005
Symposium: April 23-27, 2006

Track WEB site

Track Co-Chairs
Hasan M. Jamil
Department of Computer Science
431 State Hall, 5143 Cass Avenue
Wayne State University
Detroit, MI 48202
United States
Voice: +1 (313) 577-6783
Fax: +1 (313) 577-6868
E-mail: jamil[at]

Meo Rosa
Dipartimento di Informatica
corso Svizzera, 185, I-10149
Universita' di Torino
Torino ITALY
Voice: +39-011-670 6817
Fax: +39-011-751 603
E-mail: meo[at]

Gillian Dobbie
Department of Computer Science
University of Auckland
New Zealand
Voice: +64-9-373 7599
Fax: +64-9-373 7453
E-mail: gill[at]

Programme Committee
Reda Alhajj University of Calgary, Canada
Fabrizio Angiulli ICAR-CNR, Italy
Vijay Atluri Rutgers University, USA
Elena Baralis Politecnico di Torino, Italy
Ken Barker University of Calgary, Canada
Francesco Bonchi Universita' di Pisa, Italy
Toon Calders University of Antwerp, Belgium
Bruno Cremilleux Universite de Caen, France
Mehmet M. Dalkilic Indiana University, USA
Tina Eliassi-Rad Lawrence Livermore National Laboratory, USA
Eibe Frank University of Waikato, New Zealand
Fosca Giannotti Institute of CNR, Italy
Bart Goethals University of Antwerp, Belgium
Le Gruenwald University of Oklahoma, USA
Sherri K Harms University of Nebraska-Kearney, USA
Jochen Hipp DaimlerChrysler AG, Germany
Kristian Kersting Albert-Ludwigs-University, Germany
Sang-Wook Kim Hanyang University, Korea
Krzysztof Koperski Insightful Corporation, USA
Marzena Kryszkiewicz Warsaw University of Technology, Poland
Mong Li Lee National University of Singapore
Ulf Leser Humboldt-Univeritat Berlin, Germany
Bing Liu University of Illinois at Chicago, USA
Hong-Cheu Liu University of Wollongong, Australia
Xiao Hui Liu Brunel University, UK
Shiyong Lu Wayne State University, USA
Stefan Kramer Technische Universitaet Muenchen, Germany
Donato Malerba Università degli Studi di Bari, Italy
Giuseppe Manco ICAR-CNR, Italy
Yasuhiko Morimoto University of Hiroshima, Japan
Shinichi Morishita University of Tokyo, Japan
Rajesh Natarajan Indian Institute of Management Lucknow, India
Raymond Ng University of British Columbia, Canada
Salvatore Orlando Universita' Ca' Foscari Venezia, Italy
Stefano Paraboschi Universita` di Bergamo, Italy
Jian Pei SUNY at Buffalo, USA
Giuseppe Psaila Universita` di Bergamo, Italy
Yu Qian The University of Texas at Dallas, USA
Sanguthevar Rajasekaran University of Connecticut, USA
Ralf Rantzau IBM Almaden Research Center, USA
Jan Rauch University of Economics, Czech Republic
Celine Robardet INSA-Lyon, France
Domenico Sacca Università della Calabria, Italy
Lorenza Saitta Università del Piemonte Orientale, Italy
Daniel Sánchez University of Granada, Spain
Alexandr Savinov Fraunhofer Institute for Autonomous Intelligent Systems, Germany
Arijit Sengupta Wright State University, USA
Balasubramaniam Shekar Indian Institute of Management Bangalore, India
Claudio Silvestri University of Venice, Italy
Simeon J. Simoff University of Technology Sydney, Australia
Mingjun Song University of Connecticut, USA
Myra Spiliopoulou Otto-von-Guericke-Universitaet Magdeburg, Germany
Aixin Sun University of New South Wales, Australia
Franco Turini Università di Pisa, Italy
Panos Vassiliados University of Ioannina, Greece
Michalis Vazirgiannis Athens University of Economics and Business, Greece
Graham Williams ATO, Australia
Kang Zhang University of Texas at Dallas, USA