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Volumn , Issue , 2004, Pages 314-323

Localized signature table: Fast similarity search on transaction data

Author keywords

Data Mining; Indexing; Similarity Search; Transaction Data

Indexed keywords

DATASETS; INDEXING; SIMILARITY SEARCH; TRANSACTION DATA;

EID: 18744384364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (19)
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    • 0005027460 scopus 로고
    • R-trees: A dynamic index structure for spatial searching
    • A. Guttman. R-trees: a dynamic index structure for spatial searching. Readings in database systems, pages 599-609, 1988.
    • (1988) Readings in Database Systems , pp. 599-609
    • Guttman, A.1
  • 11
    • 18744378403 scopus 로고    scopus 로고
    • Localized signature table: Fast similarity search on transaction data
    • Q. Jing, R. Yang, P. Kalnis, and A. K. H. Tung. Localized signature table: Fast similarity search on transaction data. Technical Report, 2003.
    • (2003) Technical Report
    • Jing, Q.1    Yang, R.2    Kalnis, P.3    Tung, A.K.H.4
  • 13
    • 0036824040 scopus 로고    scopus 로고
    • Efficient similarity search for market basket data
    • A. Nanopoulos and Y. Manolopoulos. Efficient similarity search for market basket data. The VLDB Journal, 11(2):138-152, 2002.
    • (2002) The VLDB Journal , vol.11 , Issue.2 , pp. 138-152
    • Nanopoulos, A.1    Manolopoulos, Y.2
  • 17
    • 0002663098 scopus 로고
    • SLINK: An optimally efficient algorithm for the single-link cluster method
    • R. Sibson. SLINK: an optimally efficient algorithm for the single-link cluster method. The Computer Journal, 16(1):30-34, 1973.
    • (1973) The Computer Journal , vol.16 , Issue.1 , pp. 30-34
    • Sibson, R.1
  • 18
    • 84860932994 scopus 로고    scopus 로고
    • The UCI KDD Archive, http://kdd.ics.uci.edu.
  • 19
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
    • R. Weber, H.-J. Schek, and S. Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In Proc. of the 24th Int. Conf. on Very Large Data Bases, pages 194-205, 1998.
    • (1998) Proc. of the 24th Int. Conf. on Very Large Data Bases , pp. 194-205
    • Weber, R.1    Schek, H.-J.2    Blott, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.