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CALL FOR PAPERS
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Programme
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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 http://www.acm.org/conferences/sac/sac2006.
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 http://milo.cs.iupui.edu/sac2006/SubmitAbstract.aspx?TrackID=40 . 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 (jallen@cs.iupui.edu) while questions on the Data Mining Track may be directed to the Track Chairs. Additional details are available at the conference home page at http://www.acm.org/conferences/sac/sac2006/ and at the track home page at http://dmtrack.di.unito.it/.
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 http://dmtrack.di.unito.it.
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]cs.wayne.edu
URL: www.cs.wayne.edu/~jamil/
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]di.unito.it
URL: www.di.unito.it/~meo
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]cs.auckland.ac.nz
URL: www.cs.auckland.ac.nz/~gill
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 |