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Volumn 2653, Issue , 2003, Pages 140-151

Indexing structures for approximate string matching

Author keywords

Approximate string matching; Automata theory; Combinatorics on words; DAWGs; Indexing; Suffix trees

Indexed keywords

AUTOMATA THEORY; COMPUTATIONAL COMPLEXITY; HAMMING DISTANCE; INDEXING (OF INFORMATION);

EID: 26444594769     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44849-7_20     Document Type: Article
Times cited : (10)

References (10)
  • 2
    • 0001649169 scopus 로고
    • The erd'os-rényi strong law for pattern matching with given proportion of mismatches
    • R. Arratia and M. Waterman. The erd'os-rényi strong law for pattern matching with given proportion of mismatches. Annals of Probability, 4:200-225, 1989.
    • (1989) Annals of Probability , vol.4 , pp. 200-225
    • Arratia, R.1    Waterman, M.2
  • 6
    • 0012743030 scopus 로고
    • Data structures and algorithms for approximate string matching
    • Z. Galil and R. Giancarlo. Data structures and algorithms for approximate string matching. Journal of Complexity, 24:33-72, 1988.
    • (1988) Journal of Complexity , vol.24 , pp. 33-72
    • Galil, Z.1    Giancarlo, R.2
  • 9
    • 0345566149 scopus 로고    scopus 로고
    • A guided tour to approximate string matching
    • G. Navarro. A guided tour to approximate string matching. ACM Computing Surveys, 33(1):31-88, 2001.
    • (2001) ACM Computing Surveys , vol.33 , Issue.1 , pp. 31-88
    • Navarro, G.1
  • 10
    • 0001851762 scopus 로고    scopus 로고
    • Indexing methods for approximate string matching
    • Managing Text Natively and in DBMSs. Invited paper
    • G. Navarro, R. Baeza-Yates, E. Sutinen, and J. Tarhio. Indexing methods for approximate string matching. IEEE Data Engineering Bulletin, 24(4):19-27, 2001. Special issue on Managing Text Natively and in DBMSs. Invited paper.
    • (2001) IEEE Data Engineering Bulletin , vol.24 , Issue.4 SPEC. ISSUE , pp. 19-27
    • Navarro, G.1    Baeza-Yates, R.2    Sutinen, E.3    Tarhio, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.