*************************************************************
ICDM'09: The 9th IEEE International Conference on Data Mining
*************************************************************
Sponsored by the IEEE Computer Society

December 6-9, 2009
Miami, U.S.A.
http://www.cs.umbc.edu/ICDM09/

Important Dates
April 13, 2009        Deadline for Workshop Proposals
April 30, 2009        Deadline for ICDM Contest Proposals
June 26, 2009        Deadline for Paper Submission,
                                  Tutorial Submission, and
                                  Panel Proposals
July 7, 2009           Deadline for Exhibits and Demos Proposals
September 4, 2009      Notification to authors
September 28, 2009    Deadline for camera-ready copies
December 6-9, 2009    Conference

Call for Papers
***************
The IEEE International Conference on Data Mining (ICDM) has
established itself as the world's premier research conference in data
mining. The 2009 edition of ICDM provides a leading forum for
presentation of original research results, as well as exchange and
dissemination of innovative, practical development experiences. The
conference covers all aspects of data mining, including algorithms,
software and systems, and applications.  In addition, ICDM draws
researchers and application developers from a wide range of data
mining related areas such as statistics, machine learning, pattern
recognition, databases and data warehousing, data visualization,
knowledge-based systems, and high performance computing. By promoting
novel, high quality research findings, and innovative solutions to
challenging data mining problems, the conference seeks to continuously
advance the state-of-the-art in data mining. Besides the technical
program, the conference will feature workshops, tutorials, panels, and
the ICDM data mining contest.

Paper Submissions
*****************
High quality papers in all data mining areas are solicited. Original
papers exploring new directions will receive especially careful
consideration.  Papers that have already been accepted or are
currently under review for other conferences or journals will not be
considered for ICDM'09.

Paper submissions should be limited to a maximum of 10 pages in the
IEEE 2-column format, the same as the camera-ready format (see the
IEEE Computer Society Press Proceedings Author Guidelines
http://www.ieeeconfpublishing.org/cpir/AuthorKit.asp?
Community=CPS&Facility=CPS_Dec&ERoom=ICDM+2008). All papers will be
reviewed by the Program Committee on the basis of technical quality,
relevance to data mining, originality, significance, and clarity. A
double blind review process will be adopted. Authors should avoid
using identifying information in the text of the paper. A Submission
Form to submit your work will be announced on the ICDM'09 website.

Accepted papers will be published in the conference proceedings by the
IEEE Computer Society Press and accorded oral presentation times in
the main conference. Submissions accepted as regular papers will be
allocated 10 pages in the proceedings. Submissions accepted as short
papers will be allocated 6 pages in the proceedings and will have a
shorter presentation time at the conference than regular papers.

A selected number of IEEE ICDM'09 accepted papers will be invited for
possible inclusion, in expanded and revised form, in the Knowledge and
Information Systems journal published by Springer-Verlag.

ICDM Best Paper Awards
**********************
IEEE ICDM Best Paper Awards will be conferred at the conference on the
authors of (1) the best research paper, (2) the best application
paper, and (3) the best student paper.  Strong, foundational results
will be considered for the best research paper award and application-
oriented submissions will be considered for the best application paper
award. The best student paper award will be given to the authors of
the best paper written solely by one or more students.

Workshops and Tutorials
***********************
ICDM'09 will host short and long tutorials as well as workshops that
focus on new research directions and initiatives. All accepted
workshop papers will be included in a separate workshop proceedings
published by the IEEE Computer Society Press.

ICDM Data Mining Contest
************************
ICDM'09 will host a data mining contest to challenge researchers and
practitioners with a real practical data mining problem. For further
details on proposals and expression of interest, please see the Call
for Data Mining Contest Proposals.

ICDM Exhibits and Demos
***********************
The ICDM'09 Exhibit and Demo section will consist of an Exhibit
Session and a Demo Session. The Exhibit Session will offer
opportunities to distribute product, service, and company literature,
give demonstrations and carry out recruitment activities. The Demo
Session will provide data mining researchers and practitioners an
exciting and highly interactive way to explore new ideas and results.

Topics of Interest
******************
* Data mining foundations
 - Novel data mining algorithms in traditional areas (such as
   classification, regression, clustering, probabilistic modeling,
   pattern discovery, and association analysis)
 - Models and algorithms for new, structured, data types, such as
   arising in chemistry, biology, environment, and other scientific
   domains
 - Developing a unifying theory of data mining
 - Mining sequences and sequential data
 - Mining spatial and temporal datasets
 - Mining textual and unstructured datasets
 - Distributed data mining
 - High performance implementations of data mining algorithms
 - Privacy and anonymity-preserving data analysis
* Mining in emerging domains
 - Stream data mining
 - Mining moving object data, RFID data, and data from sensor
networks
 - Ubiquitous knowledge discovery
 - Mining multi-agent data
 - Mining and link analysis in networked settings: web, social and
   computer networks, and online communities
 - Mining the semantic web
 - Data mining in electronic commerce, such as recommendation,
   sponsored web search, advertising, and marketing tasks
* Methodological aspects and the KDD process
 - Data pre-processing, data reduction, feature selection, and
feature
   transformation
 - Quality assessment, interestingness analysis, and post-processing
 - Statistical foundations for robust and scalable data mining
 - Handling imbalanced data
 - Automating the mining process and other process related issues
 - Dealing with cost sensitive data and loss models
 - Human-machine interaction and visual data mining
 - Integration of data warehousing, OLAP and data mining
 - Data mining query languages
 - Security and data integrity
* Integrated KDD applications, systems, and experiences
 - Bioinformatics, computational chemistry, eco-informatics
 - Computational finance, online trading, and analysis of markets
 - Intrusion detection, fraud prevention, and surveillance
 - Healthcare, epidemic modeling, and clinical research
 - Customer relationship management
 - Telecommunications, network and systems management
 - Sustainable mobility and intelligent transportation systems

Organizing Committee
********************
Conference Co-Chairs:
 Sanjay Ranka, University of Florida
 Philip S. Yu, University of Illinois at Chicago

Program Co-Chairs:
 Hillol Kargupta, University of Maryland, Baltimore County
 Wei Wang, University of North Carolina Chapel Hill

Steering Committee:
 David J. Hand, Imperial College, London, UK
 Ramamohanarao Kotagiri, University of Melbourne, Australia
 Vipin Kumar, University of Minnesota, USA
 Heikki Mannila, University of Helsinki, Finland
 Gregory Piatetsky-Shapiro, KDnuggets, USA
 Shusaku Tsumoto, Shimane University
 Benjamin W. Wah, University of Illinois, Urbana-Champaign, USA
 Xindong Wu (Chair), University of Vermont, USA
 Philip S. Yu, IBM T.J. Watson Research Center, USA
 Osmar R. Zaiane, University of Alberta

Local Arrangements Chair:
 Tao Li, Florida International University

Finance Chair:
 Vagelis Hristidis, Florida International University

Awards Committee:
 James Bailey, University of Melbourne, Australia
 Wei Fan, IBM T.J. Watson Research Center, USA
 Minos N. Garofalakis, Technical University of Crete, Greece
 Bart Goethals, University of Antwerp, Belgium
 Jiawei Han (Chair), University of Illinois at Urbana-Champaign, USA
 Hillol Kargupta, University of Maryland at Baltimore County, USA
 Wei Wang, University of North Carolina at Chapel Hill, USA

Panels Chair:
 Haym Hirsh, NSF and Rutgers

Workshop Co-Chairs:
 Yucel Saygin, Sabanci University
 Jeffrey Xu Yu, CUHK

Tutorials Chair:
 Sanghamitra Bandyopadhyay, Indian Statistical Institute

ICDM Data Mining Contest Chair:
 Qiang Yang, HKUST

Sponsorship Chair:
 Gabor Melli, PredictionWorks

Publicity Chairs:
 Ina Lauth, Fraunhofer IAIS (Europe)
 Kun Liu, IBM Almaden Research Center (North America)

Exhibit and Demo Chairs
 Kanishka Bhaduri, NASA Ames Research Center
 LongBing Cao, University of Technology Sydney

Vice Chairs
 Deepak Agarwal, Yahoo!
 Charu Aggarwal,IBM T J Watson Research Center
 Alok Choudhary,NWU
 Diane Cook,Washington State University
 Gautam Das,University of Texas at Arlington
 Ian Davidson, University of California, Davis,
 Robert Grossman, University of Illinois at Chicago
 George Karypis, University of Minnesota
 Ravi Kumar, Yahoo!
 Ling Liu, Georgia Institute of Technology
 Katharina Morik, University of Dortmund, Germany,
 Olfa Nasraoui, University of Louisville
 Srinivasan Parthasarathy, The Ohio State University
 Jian Pei, Simon Fraser University
 Naren Ramakrishnan, Virginia Tech
 Rajeev Rastogi, Yahoo!, India
 Ambuj Singh, UCSB
 Shashi Shekhar, University of Minnesota
 Kyuseok Shim, Seoul National University, Korea
 Assaf Schuster, Technion
 Myra Spiliopoulou, University of Magdeburg, Germany
 Ashok Srivastava, NASA Ames Research Center
 Jaideep Srivastava, University of Minnesota
 Hannu Toivonen, University of Helsinki
 Haixun Wang, IBM T.J. Watson Research Center
 Carlo Zaniolo, UCLA
 Osmar Zaiane, Univ of Alberta

Further Information
*******************
ICDM09@listserv.unc.edu