Similarity based retrieval from sequence databases using automata as queries

  • Authors:
  • A. Prasad Sistla;Tao Hu;Vikas Chowdhry

  • Affiliations:
  • University of Illinois at Chicago, Chicago, IL;University of Illinois at Chicago, Chicago, IL;University of Illinois at Chicago, Chicago, IL

  • Venue:
  • Proceedings of the eleventh international conference on Information and knowledge management
  • Year:
  • 2002

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Abstract

Similarity based retrieval from sequence databases is of importance in many applications such as time-series, video and textual databases. In this paper, automata based formalisms are introduced for specifying queries over such databases. Various measures defining the distance of a database sequence from an automaton are defined. Efficient methods for similarity based retrieval are presented for each of the distance measures. These methods answer nearest neighbor queries (i.e. retrieval of k closest subsequences), or range queries (i.e., retrieval of all sequences with in a given distance).