PEDS-VM: A Variation Management Prototype for Pattern Evolving Data Streams

  • Authors:

  • Xinbiao Zhou;Gaoshan Miao;Hongyan Li;Xin Wei;Lu-An Tang

  • Affiliations:

  • -;-;-;-;-

  • Venue:
  • WAIM '08 Proceedings of the 2008 The Ninth International Conference on Web-Age Information Management
  • Year:
  • 2008

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Abstract

Widely applied in many domains, data stream processing has attracted more and more attention in database and sensor network communities. In this demo, we present our system PEDS-VM, a real-time surveillance system for managing pattern variation over evolving medical streams. PEDS-VM utilizes an effective strategy and a state-based window framework to extract the evolving patterns. After extraction, PEDS-VM uses a novel storage structure called PGG to efficiently record these incremental patterns. Moreover, several important application scenarios of PEDS-VM are also discussed in this demonstration.