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String recedence count matrix

  • Xia Cao
  • , Anthony K. H. Tung
  • , Beng Chin Ooi
  • , Kian-Lee Tan
  • , Shuai Cheng Li

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this paper, we propose a filter-and-refine string join algorithm. While the filtering phase can rapidly prune away strings that are not joinable, the refinement phase employs a comprehensive algorithm to remove the remaining false alarms. The efficiency of the proposed scheme lies in the use of the precedence count matrix (PCM) for computing the edit distance between two sequences. With PCM, the complexity of sequence comparison is a constant time. We also evaluated the proposed sequence join algorithm, and our study shows that it outperforms the known techniques.
Original languageEnglish
Pages (from-to)345-348
JournalProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
Volume16
Publication statusPublished - 2004
Externally publishedYes
EventProceedings - 16th International Conference on Scientific and Statistical Databse Management, SSDBM 2004 - Santorini Island, Greece
Duration: 21 Jun 200423 Jun 2004

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