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Volumn , Issue , 2005, Pages 587-588

Characterization of a simple case of the reassignment of document identifiers as a pattern sequencing problem

Author keywords

compression; document identifier reassignment; inverted files

Indexed keywords

DOCUMENT IDENTIFIERS; INVERTED FILES; PATTERN SEQUENCING;

EID: 37149052737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1076034.1076141     Document Type: Conference Paper
Times cited : (7)

References (6)
  • 1
    • 24644492345 scopus 로고    scopus 로고
    • Document identifier reassignment through dimensionality reduction
    • Proceedings of the 27th European Conference on Information Retrieval, ECIR 2005
    • R. Blanco, A. Barreiro. Document identifier reassignment through dimensionality reduction. Proceedings of the 27th European Conference on Information Retrieval, ECIR 2005, LNCS 3408, pp. 375-387, 2005.
    • (2005) LNCS , vol.3408 , pp. 375-387
    • Blanco, R.1    Barreiro, A.2
  • 3
    • 0032782395 scopus 로고    scopus 로고
    • Applications of modern heuristic search methods to pattern sequencing problems
    • DOI 10.1016/S0305-0548(98)80001-4, PII S0305054898000458
    • A. Fink. S. Voß. Applications of modern heuristic search methods to pattern sequencing problems. Computers & Operations Research, 26:17-34, 1999. (Pubitemid 29346485)
    • (1999) Computers and Operations Research , vol.26 , Issue.1 , pp. 17-34
    • Fink, A.1    Voss, S.2
  • 4
    • 0037213772 scopus 로고    scopus 로고
    • Inverted file compression through document identifier reassignment
    • DOI 10.1016/S0306-4573(02)00020-1, PII S0306457302000201
    • W.-Y. Shieh, T.-F. Chen, J. J.-J. Shann and C.-P. Chung. Inverted file compression through document identifier reassignment. Information Processing and Management, 39(1):117-131, January 2003. (Pubitemid 35452381)
    • (2003) Information Processing and Management , vol.39 , Issue.1 , pp. 117-131
    • Shieh, W.-Y.1    Chen, T.-F.2    Shann, J.J.-J.3    Chung, C.-P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.