메뉴 건너뛰기




Volumn 4, Issue 10, 2011, Pages 622-633

Entity matching: How similar is similar

Author keywords

[No Author keywords available]

Indexed keywords

REDUNDANCY;

EID: 84863541462     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/2021017.2021020     Document Type: Article
Times cited : (137)

References (22)
  • 1
    • 85039681411 scopus 로고    scopus 로고
    • http://secondstring.sourceforge.net/.
  • 2
    • 85039681574 scopus 로고    scopus 로고
    • http://www.dcs.shef.ac.uk/~sam/simmetrics.html.
  • 3
    • 85104914015 scopus 로고    scopus 로고
    • Efficient exact set-similarity joins
    • A. Arasu, V. Ganti, and R. Kaushik. Efficient exact set-similarity joins. In VLDB, pages 918-929, 2006.
    • (2006) VLDB , pp. 918-929
    • Arasu, A.1    Ganti, V.2    Kaushik, R.3
  • 5
    • 77952372966 scopus 로고    scopus 로고
    • Adaptive duplicate detection using learnable string similarity measures
    • M. Bilenko and R. J. Mooney. Adaptive duplicate detection using learnable string similarity measures. In KDD, pages 39-48, 2003.
    • (2003) KDD , pp. 39-48
    • Bilenko, M.1    Mooney, R.J.2
  • 6
    • 85011029434 scopus 로고    scopus 로고
    • Example-driven design of efficient record matching queries
    • S. Chaudhuri, B.-C. Chen, V. Ganti, and R. Kaushik. Example-driven design of efficient record matching queries. In VLDB, pages 327-338, 2007.
    • (2007) VLDB , pp. 327-338
    • Chaudhuri, S.1    Chen, B.-C.2    Ganti, V.3    Kaushik, R.4
  • 7
    • 33749597967 scopus 로고    scopus 로고
    • A primitive operator for similarity joins in data cleaning
    • S. Chaudhuri, V. Ganti, and R. Kaushik. A primitive operator for similarity joins in data cleaning. In ICDE, pages 5-16, 2006.
    • (2006) ICDE , pp. 5-16
    • Chaudhuri, S.1    Ganti, V.2    Kaushik, R.3
  • 8
    • 11144240583 scopus 로고    scopus 로고
    • A comparison of string distance metrics for name-matching tasks
    • W. W. Cohen, P. Ravikumar, and S. E. Fienberg. A comparison of string distance metrics for name-matching tasks. In IIWEB, pages 73-78, 2003.
    • (2003) IIWEB , pp. 73-78
    • Cohen, W.W.1    Ravikumar, P.2    Fienberg, S.E.3
  • 9
    • 0242540438 scopus 로고    scopus 로고
    • Learning to match and cluster large high-dimensional data sets for data integration
    • W. W. Cohen and J. Richman. Learning to match and cluster large high-dimensional data sets for data integration. In KDD, pages 475-480, 2002.
    • (2002) KDD , pp. 475-480
    • Cohen, W.W.1    Richman, J.2
  • 10
    • 33845667955 scopus 로고    scopus 로고
    • Duplicate record detection: A survey
    • A. K. Elmagarmid, P. G. Ipeirotis, and V. S. Verykios. Duplicate record detection: A survey. TKDE, 19(1):1-16, 2007.
    • (2007) TKDE , vol.19 , Issue.1 , pp. 1-16
    • Elmagarmid, A.K.1    Ipeirotis, P.G.2    Verykios, V.S.3
  • 11
    • 84865086832 scopus 로고    scopus 로고
    • Reasoning about record matching rules
    • W. Fan, X. Jia, J. Li, and S. Ma. Reasoning about record matching rules. PVLDB, 2(1):407-418, 2009.
    • (2009) PVLDB , vol.2 , Issue.1 , pp. 407-418
    • Fan, W.1    Jia, X.2    Li, J.3    Ma, S.4
  • 12
    • 84947399464 scopus 로고
    • A theory for record linkage. Journal of the American Statistical Association
    • I. P. Fellegi and A. B. Sunter. A theory for record linkage. Journal of the American Statistical Association, 64(328):1183-1210, 1969.
    • (1969) , vol.64 , Issue.328 , pp. 1183-1210
    • Fellegi, I.P.1    Sunter, A.B.2
  • 13
    • 0344756845 scopus 로고    scopus 로고
    • Declarative data cleaning: Language, model, and algorithms
    • H. Galhardas, D. Florescu, D. Shasha, E. Simon, and C.-A. Saita. Declarative data cleaning: Language, model, and algorithms. In VLDB, pages 371-380, 2001.
    • (2001) VLDB , pp. 371-380
    • Galhardas, H.1    Florescu, D.2    Shasha, D.3    Simon, E.4    Saita, C.-A.5
  • 14
    • 84976856849 scopus 로고
    • The merge/purge problem for large databases
    • M. A. Herńandez and S. J. Stolfo. The merge/purge problem for large databases. In SIGMOD, pages 127-138, 1995.
    • (1995) SIGMOD , pp. 127-138
    • Herńandez, M.A.1    Stolfo, S.J.2
  • 16
    • 84950419860 scopus 로고
    • Advances in record-linkage methodology as applied to matching the 1985 census of tampa, florida
    • M. A. Jaro. Advances in record-linkage methodology as applied to matching the 1985 census of tampa, florida. Journal of the American Statistical Association, 84(406):414-420, 1989.
    • (1989) Journal of the American Statistical Association , vol.84 , Issue.406 , pp. 414-420
    • Jaro, M.A.1
  • 17
    • 34250670467 scopus 로고    scopus 로고
    • Record linkage: similarity measures and algorithms
    • N. Koudas, S. Sarawagi, and D. Srivastava. Record linkage: similarity measures and algorithms. In SIGMOD, pages 802-803, 2006.
    • (2006) SIGMOD , pp. 802-803
    • Koudas, N.1    Sarawagi, S.2    Srivastava, D.3
  • 18
    • 0027189241 scopus 로고
    • Entity identification in database integration
    • E. Lim, J. Srivastava, S. Prabhakar, and J. Richardson. Entity identification in database integration. In ICDE, pages 294-301, 1993.
    • (1993) ICDE , pp. 294-301
    • Lim, E.1    Srivastava, J.2    Prabhakar, S.3    Richardson, J.4
  • 19
    • 0034592784 scopus 로고    scopus 로고
    • Efficient clustering of high-dimensional data sets with application to reference matching
    • A. McCallum, K. Nigam, and L. H. Ungar. Efficient clustering of high-dimensional data sets with application to reference matching. In KDD, pages 169-178, 2000.
    • (2000) KDD , pp. 169-178
    • McCallum, A.1    Nigam, K.2    Ungar, L.H.3
  • 20
    • 0242456811 scopus 로고    scopus 로고
    • Interactive deduplication using active learning
    • S. Sarawagi and A. Bhamidipaty. Interactive deduplication using active learning. In KDD, pages 269-278, 2002.
    • (2002) KDD , pp. 269-278
    • Sarawagi, S.1    Bhamidipaty, A.2
  • 21
    • 0242456803 scopus 로고    scopus 로고
    • Learning domain-independent string transformation weights for high accuracy object identification
    • S. Tejada, C. A. Knoblock, and S. Minton. Learning domain-independent string transformation weights for high accuracy object identification. In KDD, pages 350-359, 2002.
    • (2002) KDD , pp. 350-359
    • Tejada, S.1    Knoblock, C.A.2    Minton, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.