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[Sy-cg-global] DIMACS Working Group Meeting on Streaming Data Analysis

Eric Luhrs eluhrs at dimacs.rutgers.edu
Wed Oct 16 11:21:04 EDT 2002


                          CALL FOR PAPERS

                    DIMACS Working Group Meeting on
                       Streaming Data Analysis

                        March 24 - 26, 2003
        DIMACS Center, Rutgers University, Piscataway, New Jersey

                            ORGANIZERS

Adam Buchsbaum          AT&T Labs - Research, alb at research.att.com 
Rajeev Motwani          Stanford University, rajeev at cs.stanford.edu 

The DIMACS Working Group on Streaming Data Analysis will hold a public
workshop on the topic Mar. 24-26, 2003, at DIMACS.  The workshop is
open to speakers presenting current work on analyzing data streams.

Data stream analysis presents many practical and theoretical
challenges.  Many critical applications require immediate (seconds)
decision making based on current information:  e.g., intrusion
detection and fault monitoring.  Data must be analyzed as it arrives,
not off-line after being stored in a central database.  Processing and
integrating the massive amounts of data generated by a number of
continuously operating, heterogeneous sources poses is not
straightforward.  At some point, data sets become so large as to
preclude most computations that require more than one scan of the data,
as they stream by.  Analysis of data streams also engenders new
problems in data visualization.  How is time-critical information best
displayed?  Can automatic response systems be created to deal with
common cases?  Etc.

The workshop will be organized as a series of talks with time for
focused discussions.  We solicit general participation and invite
presentations on all aspects of data stream analysis:  theoretical
issues, including modeling; practical issues, including work on
existing systems; and bridges and bottlenecks, both current and
potential, between theory and practice, The goal of the workshop and
working group is to foster interdisciplinary collaborations among
researchers studying data streams from many disparate perspectives and
application areas.

Prospective speakers should submit an at-most two-page writeup
(preferably in ASCII, but PS and PDF are acceptable) of the abstract of
the talk, with references to literature and a description of the
specific flavor of the talk.  Email abstracts to alb at research.att.com.

Submission Deadline:    Dec. 2, 2002
Notification Deadline:  Dec. 16, 2002

Presented under the auspices of the Special Focus on Data Analysis and
Mining.



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