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Evento: 'ICDM '07: The 7th IEEE International Conference on Data Mining'

Call for Papers
Divulgação de "Call for Papers".
Data: Friday, June 01, 2007 At 08:00
Contato - Info:

ICDM '07: The 7th IEEE International Conference on Data Mining (ICDM '07)

Sponsored by the IEEE Computer Society

October 28 - 31, 2007
Embassy Suites Hotel, Omaha, NE, USA

Call for Papers
(Papers Due: Friday June 1st, 2007)
(Submission of title/abstract a week in advance is encouraged; revision of submission is possible until the deadline.)

May 25, 2007: open for title and abstract submission
June 1st, 2007: deadline for abstract and full paper submission
July 30th, 2007: Notification of acceptance
August 13th, 2007: Camera-ready copy and copyright release form deadline

Tutorial proposal submission: July 13, 2007

The IEEE International Conference on Data Mining series (ICDM) has established itself as the world's premier research conference in data mining. It provides an international 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, new for this year, the ICDM data mining contest.

Topics of Interest
Topics related to the design, analysis, and implementation of data mining applications are of interest. These include, but are not limited to:

Data mining foundations
* Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
* 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
* High performance implementations of data mining algorithms

Mining in targeted application contexts
* Mining high speed data streams
* Mining sensor data
* Distributed data mining and mining multi-agent data
* Mining in networked settings: web, social and computer networks, and online communities
* 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
* Security, privacy, and data integrity

Integrated KDD applications and systems
* Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines
* 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

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 '07.

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 at ttp://www.computer.org/portal/pages/cscps/cps/final/icdm06.xml>. All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. Starting this year, a double blind review process will be adopted. Authors should avoid using identifying information in the text of the paper. Please use the Submission Form on the ICDM '07 website to submit your paper. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press.

All accepted papers will be published in the ICDM'07 proceedings 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 '07 accepted papers will be invited for possible inclusion, in expanded and revised form, in the Knowledge and Information Systems journal (<http://www.cs.uvm.edu/~kais/>http://www.cs.uvm.edu/~kais/) 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 and (2) the best application 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.


As part of the main conference technical program, ICDM will continue its tradition of hosting 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.

Please see the ICDM'07 website for solicitations for workshop proposals.


ICDM will host tutorials covering topics in data mining of interest to the research community as well as application developers. Both short (2 hours) and long (half day) tutorials will be considered. The tutorials will be part of the main conference technical program.

Please see the ICDM'07 website for solicitations for tutorial proposals.

Important Dates
May 25, 2007: open for title and abstract submission
June 1st, 2007: deadline for abstract and full paper submission
July 30th, 2007: Notification of acceptance
August 13th, 2007: Camera-ready copy and copyright release form deadline

Tutorial proposal submission: July 13, 2007

All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page at <http://www.ist.unomaha.edu/icdm2007/>http://www.ist.unomaha.edu/icdm2007/.

Conference Co-Chairs:
* Yong Shi, University of Nebraska at Omaha (USA)
* Christopher W. Clifton, Purdue University (USA)

Program Committee Chairs:
* Naren Ramakrishnan, Virginia Tech (USA)
* Osmar Zaiane, University of Alberta (Canada)

Workshop Chairs:
* Qiuming Zhu, University of Nebraska at Omaha (USA)
* Anthony K.H. Tung, National University of Singapore (Singapore)

Tutorials Chair:
* Jian Pei, Simon Fraser University (Canada)

Panels Chair:
* Geoffrey I. Webb, Monash Uiversity (Australia)

ICDM Data Mining Contest Chairs:
* Chris Ding, Lawrence Berkeley National Laboratory (USA)
* Gang Kou, Thomson Corporation (USA)
* Qiang Yang, Hong Kong University of Science and Technology (Hong Kong)

Local Arrangements Chair:
* Zhengxin Chen, University of Nebraska at Omaha (USA)
* Hai-Feng Guo, University of Nebraska at Omaha (USA)

Registration Chair:
* Parvathi Chundi, University of Nebraska at Omaha (USA)

Publicity Chair:
* Prithviraj Dasgupta, University of Nebraska at Omaha (USA)
* Xuelong Li, University of London (UK)
* Shusaku Tsumoto, Shimane University (Japan)

Finance Chair:
* Wikil Kwak, University of Nebraska at Omaha (USA)

Sponsorship Chair:
* Mark Pauley, University of Nebraska at Omaha (USA)

Proceedings Chair:
* Xindong Wu, University of Vermont, USA

ICDM Steering Committee:
* Max Bramer, University of Portsmouth (UK)
* Nick Cercone, Dalhousie University (Canada)
* Ramamohanarao Kotagiri, University of Melbourne (Australia)
* Vipin Kumar, University of Minnesota (USA)
* Katharina Morik, University of Dortmund (Germany)
* Gregory Piatetsky-Shapiro, KDnuggets (USA)
* 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)
* Ning Zhong, Maebashi Institute of Technology (Japan)

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