-------- Original-Nachricht -------- Betreff: [WI] cfp, cfdemo, cftutorials: IEEE ICDM'09, Miami, USA, Dec. 6-9, 2009 Datum: Sun, 07 Jun 2009 17:15:26 +0200 Von: Ina Lauth codrina.lauth@iais.fraunhofer.de An: Kdnet-Members kdnet-members@iais.fraunhofer.de, kdubiq_absc@iais.fraunhofer.de, kdubiq_wgchairs@iais.fraunhofer.de, kdubiq_students kdubiq_students@iais.fraunhofer.de, kdubiq_finalsymposium kdubiq_finalsymposium@iais.fraunhofer.de, "ACM LISTSERV Server (15.0)" LISTSERV@LISTSERV.ACM.ORG, aiia@dis.uniroma1.it, all@dfki.de, allstat@jiscmail.ac.uk, KD Mailingliste kd-all@iais.fraunhofer.de, Kdd kdd@gte.com, "machine-learning@yahoogroups " machine-learning@yahoogroups.com, Mailinglist eventseer cfp@eventseer.org, MailingList Data Mining Cup dmc@prudsys.com, Mailinglist KDML kdml@cs.uni-kassel.de, Mailinglist001 semanticweb@yahoogroups.com, Mailinglist1 ak-kd-list@aifb.uni-karlsruhe.de, Mailinglist2 fca-list@aifb.uni-karlsruhe.de, Mailinglist3 emisa@informatik.uni-hannover.de, Mailinglist4 wi@aifb.uni-karlsruhe.de, Mailinglist5 fg-db@informatik.uni-rostock.de, malinglist UAI 01 uai@eecs.oregonstate.edu, malinglist UAI 02 uai@cs.orst.edu, Malinglist002 ML-news@googlegroups.com, Malinglist003 SENSORNET@LISTSERV.ACM.ORG, Malinglist004 visionsciencelist@lists.best.com, MalinglistAI_italy aiia@dis.uniroma1.it, malinglistBayerNet bayes-news@stat.cmu.edu, MalinglistPASCAL researchers@pascal-network.org, malinglistSIGIR sigir-announce-request@acm.org CC: Kun Liu kun@us.ibm.com, "Hillol Kargupta (CS)" hillol@cs.umbc.edu
************************************************************* 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
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 for Exhibits and Demos ***************************** * July 7, 2009 : Exhibits and demos proposal due * September 15, 2009 : Author notification * October 7, 2009 : Final demo papers due
Call for Exhibits and Demos *************************** The ICDM 2009 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.
Call for Exhibits ***************** 1. General Exhibitors will attend a bidding of three levels of limited number of booths: one Gold Booth (US $6000), two Silver Booths (US $4000), and three Bronze Booths (US$ 3000, tabletop only). A standard booth space will be 8' x 10' with a table (6' x 30") and two chairs.
2. The final winners selection will be based on the relationship between the distributed goods and ICDM2009, the benefit to ICDM 2009 audiences, and the order of paying fees.
3. Non-profit research organizations and publishers (evidence is required to show the non-profit nature) will get a special rate (US $1500) for a tabletop but with lowest priority for booth allocation.
4. All fees above are valid only if payment is received by 15 Sept 2009. After 15 Sept 2009 the fee will increase by 20%.
5. Exhibitors will be responsible for any other equipment including all hardware and software required for their exhibits.
6. Benefits for an Exhibitor - One company logo on the conference web-site (in the exhibit & demo section) - Ability to include flyers or CD in conference bag for an additional fee of $200 per item - The corresponding booth or a tabletop based on the level above - One complimentary registration - Discounted registration fee for all team members manning the exhibit
7. Exhibit contact: Kanishka Bhaduri (Kanishka.Bhaduri-1@nasa.gov) (cc to Longbing Cao (longbing.cao-1@uts.edu.au)).
Call for Demos ************** 1. A demo is for (1) demonstrating data mining software systems and libraries closely related to the area of data mining and knowledge discovery, (2) showing new technological advances in applying data mining techniques.
2. The demo proposal needs to describe i) motivation for the demonstrated concepts, ii) the design, development and functionality of their work in an interactive setting, and ii) the significance of the contribution.
3. Regular student demo proposals: if a project will be undertaken by regular students only, a one page statement is needed in which the students clearly describe the student teams and confirmation by the students' supervisor.
4. Preparing your demo proposal: All demonstration submissions must be within four pages in IEEE proceedings style (double-column pages) and should include:
- Demonstration title - Authors (name, affiliation, email, address, phone and fax) - The corresponding author with her/his email address - Abstract (max. 150 words) - Keywords - The category of the submission - URL for the demo software (if available) - Paper ID if the demo is related to a paper at the main conference - Equipment you will bring (e.g., laptop, robot) - Equipment you will need (e.g., table, poster board, power sockets) - Special requirements (e.g., space for robot and if so how much, video projector) - A discussion of the present state of your demo (e.g., ready to demonstrate now, but if not, include a realistic estimate for conclusion and what remains to be done before you have a demonstrable software/robotic system) - A video presentation of your demo, in which you can showcase and explain its features, and the URL link where one can download the video of your demo
5. The selection criteria for the demonstration proposals evaluation include:
- Relevance to ICDM - Novelty of the application domain - The technical advances and challenges - Quality and soundness of the underlying technology - Maturity of the (deployed) system - Potential for public interaction - The overall practical attractiveness of the demonstrated system
6. Proposal submission: Submit your demo proposal as a paper at ICDM2009 paper submission site. Mark it as a submission to the Demonstrations Program in the form. (Note: Demo submissions to the Demonstrations Program are not blind)
7. Each accepted proposal will be provided a standard tabletop space will be 8' x 10' with a table (6' x 30") and two chairs.
8. Demo contact: Longbing Cao (longbing.cao-1@uts.edu.au) (cc to Kanishka Bhaduri (Kanishka.Bhaduri-1@nasa.gov)).
How to Submit ************* Exhibit contact: Kanishka Bhaduri Kanishka.Bhaduri-1@nasa.gov (cc to Longbing Cao longbing.cao-1@uts.edu.au).
Demo contact: Longbing Cao longbing.cao-1@uts.edu.au (cc to Kanishka Bhaduri Kanishka.Bhaduri-1@nasa.gov).
Exhibit and Demo Chairs *********************** Kanishka Bhaduri, NASA Ames Research Center LongBing Cao, University of Technology Sydney
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 for Tutorials ***************************** * June 26, 2009 : Tutorial proposal due * July 31, 2009 : Notification
Call for Tutorials ****************** The International Conference on Data Mining series (ICDM) is well established as a top ranked research conference in data mining, providing a premier 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. ICDM 09 will be the ninth edition of the series. ICDM'09 will host tutorials covering topics in data mining of interest to the research community as well as application developers. The tutorials will be part of the main conference technical program, and are free of charge to the attendees of the conference.
We invite proposals for tutorials from active researchers and experienced tutors. Ideally, a tutorial will cover the state-of-the-art research, development and applications in a specific data mining direction, and stimulate and facilitate future work. A tutorial should not mainly focus on only the presenters previous work. Tutorials on interdisciplinary directions, novel and fast growing directions, and significant applications are highly encouraged. ICDM will provide an honorarium for each tutorial. It is possible, depending on actual conference attendance, that the conference can (partly) support travel and subsistence expenses for tutorial speakers. Please provide an estimate for these expenses in your proposal if you are expecting the conference to cover these expenses for you. We will assume that the tutorial speakers will be able to cover these expenses from their own sources if no estimate is included in their proposals. A tutorial proposal should be formatted in the following sections.
* Title * Abstract (up to 150 words) * Rationale of presenting the tutorial at ICDM 2009 (up to 200 words) * Target audience and prerequisites (up to 50 words) * A list of forums and their time and locations if the tutorial or a similar/highly related tutorial has been presented by the same author(s) before, and highlight the similarity/difference between those and the one proposed for ICDM 2009 (up to 100 words for each entry) * A list of tutorials on the same/similar/highly related topics given by other people, and highlight the difference between yours and theirs (up to 100 words for each entry) * A list of other tutorials given by the authors, please list the titles, the presenters and the forums only. * Tutors short bio and their expertise related to the tutorial (up to 100 words per tutor) * An outline of the tutorial in the form of a bullet list (up to 1 page) * Length of the tutorial: short (1.5-2 hours) or long (3-4 hours). If you are flexible, please indicate in the outline the content that will not be included if a short tutorial is given. * A list of up to 20 most important references that will be covered in the tutorial * (Optional) URLs of the slides/notes of the previous tutorials given by the authors, and any specific audio/vedio/computer requirements for the tutorial
How to Submit ************* Please kindly send your proposal by email to Sanghamitra Bandyopadhyay sanghami@isical.ac.in
Tutorial Chair ************** Sanghamitra Bandyopadhyay, Indian Statistical Institute
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