Final CFP: High Performance Data Mining: Pervasive and Data Stream Mining 2003

                      6th International Workshop on
                      High Performance Data Mining:
                     Pervasive and Data Stream Mining
                               (HPDM:PDS'03)
                                  May 2003 

                            in conjunction with

                      Third International SIAM Conference
                                on Data Mining 

            Workshop History: This is the 6th workshop on this
            theme held annually. The first four held in conjunction
            with IPDPS were held at Orlando ( HPDM'98), San
            Juan ( HPDM'99), Cancun (HPDM'00). and San
            Francisco (PDDM01). Last years workshop was held
            along-side the SIAM conference with a special focus
            on mobile and location-aware data mining issues
            (HPDM:RLM). This years workshop while continuing
            its focus on traditional areas of high performance data
            mining, focuses on the new areas of pervasive and
            datastream mining and management. 


           This workshop will focus on the emerging field of high
           performance, pervasive, and data stream mining. Over
           the years the definition of high performance computing
           has taken on various forms as a function of the types of
           technical and creative uses and the underlying
           semantics of the applications driving them. Traditional
           definitions often refer to the problem of using high end
           parallel computers to meet the need of scientific
           applications. However, high performance computing
           can also include the need for fast sequential algorithms
           that target memory and I/O performance. The last
           decade has seen the growth and importance of grid
           computing where resources and data are physically
           distributed. This has led to the development of high
           performance distributed algorithms over the
           computational grid. 

           More recently we have seen the advent of mobile and
           distributed computing environments and sensor
           networks that offer a completely new set of data mining
           applications. Accessing and analyzing data in a
           ubiquitous environment offer many challenges. They
           include distributed resource aware algorithms, limited
           access to possibly privacy sensitive data, novel
           challenges in human-computer interaction, and
           algorithms for handling data streams. Topics of interest
           include but are not limited to: 

               Data stream mining and management. 

               Resource and location-aware mining algorithms. 

               Data mining in mobile environments. 

               Grid-based data mining and management. 

               Theoretical foundations for resource-aware mining
       in a mobile, streaming and/or distributed environment.

               Systems support for resource and location aware
               data mining. 

               Efficient, scalable, disk-based, parallel and
               distributed algorithms for large-scale data mining
               and pre-procesing and post-processing tasks. 

               Parallel or distributed techniques for incremental,
               exploratory and interactive mining. 

               Parallel or distributed frameworks for stream management,
           KDD systems, and parallel or distributed mining. 

               Applications of parallel and distributed data
               mining (PDDM) in business, science, engineering,
               medicine, and other disciplines. 

         The organizers plan to have invited talk(s) and 
         a panel on this year's focus area. 
         In addition it is
         anticipated that there will be several contributed sessions
         and one invited session on various topics of interest to
         the workshop. 


Important Dates: 

             Paper Submissions due: February 3 2003. 
             Notification to authors: March 1 2003. 
             Final papers due: March 30 2003. 


For further information please visit the workshop web page at:
   
             http://www.cis.ohio-state.edu/~srini/hpdm03.html
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