HOME CALL FOR PAPER ORGANIZATION PAPER SUMBMISSION PROGRAM REGISTRATION

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ORGANIZING COMMITTEES --------------------------------------- General Co-Chairs Mohammed J. Zaki Department of Computer Science Rensselaer Polytechnic Institute, USA zaki@cs.rpi.edu Yi Pan Department of Computer Science Georgia State University,USA pan@cs.gsu.edu --------------------------------------- Program Co-Chairs Chao Xie Department of Computer Science Georgia State University,USA cxie@cs.gsu.edu Jieyue He Southeast University, China jieyuehe@seu.edu.cn --------------------------------------- Web Chair Shan Fan Huazhong University of Science and Technology, China --------------------------------------- Conference Coordinator HPDMA07@cs.gsu.edu ---------------------------------------     IMPORTANT DATES Submission deadline: January 5, 2007 Acceptacne Notification: February 20, 2007 Camera-ready Deadline: March 10, 2007 Workshop Date: May 22, 2007      WORKSHOP OVERVIEW      Over the years data is being collected and stored at an unprecedented rate in almost all fields of human endeavor from scientific research to economic activities. To achieve efficient mining of useful information from the data available, parallel hardware platforms, clusters and large-scale distributed computing infrastructures, such as computational grid and peer-to-peer systems, are widely used by data mining communities. This also poses challenges on the design of parallel and distributed algorithms for data mining. HPDMA'07 will address high performance data mining methods and applications from both algorithmic and system perspectives.      HPDMA’07 will be held at Nanjing, one of the oldest and most beautiful cities in China, in conjunction with PAKDD’07.      TOPICS     We welcome original papers on all aspects of high performance data mining. Topics of interest include but are not limited to: Parallel or distributed mining Cluster-based data mining algorithms and systems Grid-based data mining algorithms and systems Peer-to-Peer based data mining algorithms and systems Data mining algorithms and systems based on parallel hardware platforms, including shared-memory systems (SMPs), distributed-memory systems, etc. Resource and location aware data mining algorithms and systems Data mining in mobile and ad hoc environments Data mining in sensor networks Data mining in distributed security and privacy High performance stream data mining and management Integration of mining with databases and data warehousing Applications of parallel and distributed data mining in business, science, engineering, medicine, and other disciplines.     PAPER SUMBMISSION      HPDMA'07 invites authors to submit original and unpublished work. Paper submissions must not exceed 12 pages, in Springer LNCS format. Please see http://www.springer.de/comp/lncs/authors.html for formatting information. Paper submission should be electronic in only PDF format. For further questions regarding paper submission and the workshop, please contact the conference coordinator (HPDMA07@cs.gsu.edu).     Please note that submitting a paper to the workshop means that if the paper is accepted, at least one author should attend the workshop to present the paper. For no-show authors, their affiliations will receive a notification.     The workshop proceedings will be published by Springer LNCS/LNAI after workshop is finished.