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Volumn , Issue , 2011, Pages 469-480

Interaction between record matching and data repairing

Author keywords

conditional functional dependency; data cleaning; matching dependency

Indexed keywords

CLEANING; DATABASE SYSTEMS;

EID: 79959944062     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1989323.1989373     Document Type: Conference Paper
Times cited : (85)

References (39)
  • 3
    • 67649649597 scopus 로고    scopus 로고
    • Large-scale deduplication with constraints using Dedupalog
    • A. Arasu, C. Re, and D. Suciu. Large-scale deduplication with constraints using Dedupalog. In ICDE, 2009.
    • (2009) ICDE
    • Arasu, A.1    Re, C.2    Suciu, D.3
  • 4
    • 79960009314 scopus 로고    scopus 로고
    • Consistent query answers in inconsistent databases
    • M. Arenas, L. E. Bertossi, and J. Chomicki. Consistent query answers in inconsistent databases. TPLP, 3(4-5), 2003.
    • (2003) TPLP , vol.3 , Issue.4-5
    • Arenas, M.1    Bertossi, L.E.2    Chomicki, J.3
  • 5
    • 77954695997 scopus 로고    scopus 로고
    • Modeling and querying possible repairs in duplicate detection
    • G. Beskales, M. A. Soliman, I. F. Ilyas, and S. Ben-David. Modeling and querying possible repairs in duplicate detection. In VLDB, 2009.
    • (2009) VLDB
    • Beskales, G.1    Soliman, M.A.2    Ilyas, I.F.3    Ben-David, S.4
  • 6
    • 29844436973 scopus 로고    scopus 로고
    • A cost-based model and effective heuristic for repairing constraints by value modification
    • P. Bohannon, W. Fan, M. Flaster, and R. Rastogi. A cost-based model and effective heuristic for repairing constraints by value modification. In SIGMOD, 2005.
    • (2005) SIGMOD
    • Bohannon, P.1    Fan, W.2    Flaster, M.3    Rastogi, R.4
  • 7
    • 1142279457 scopus 로고    scopus 로고
    • Robust and efficient fuzzy match for online data cleaning
    • S. Chaudhuri, K. Ganjam, V. Ganti, and R. Motwani. Robust and efficient fuzzy match for online data cleaning. In SIGMOD, 2003.
    • (2003) SIGMOD
    • Chaudhuri, S.1    Ganjam, K.2    Ganti, V.3    Motwani, R.4
  • 8
    • 74549188261 scopus 로고    scopus 로고
    • Discovering data quality rules
    • F. Chiang and R. Miller. Discovering data quality rules. In VLDB, 2008.
    • (2008) VLDB
    • Chiang, F.1    Miller, R.2
  • 9
    • 84959912087 scopus 로고    scopus 로고
    • Improving data quality: Consistency and accuracy
    • G. Cong, W. Fan, F. Geerts, X. Jia, and S. Ma. Improving data quality: Consistency and accuracy. In VLDB, 2007.
    • (2007) VLDB
    • Cong, G.1    Fan, W.2    Geerts, F.3    Jia, X.4    Ma, S.5
  • 12
    • 74549152150 scopus 로고    scopus 로고
    • Robust record linkage blocking using suffix arrays
    • T. de Vries, H. Ke, S. Chawla, and P. Christen. Robust record linkage blocking using suffix arrays. In CIKM, 2009.
    • (2009) CIKM
    • De Vries, T.1    Ke, H.2    Chawla, S.3    Christen, P.4
  • 14
    • 84859258624 scopus 로고    scopus 로고
    • Global detection of complex copying relationships between sources
    • X. L. Dong, L. Berti-Equille, Y. Hu, and D. Srivastava. Global detection of complex copying relationships between sources. In VLDB, 2010.
    • (2010) VLDB
    • Dong, X.L.1    Berti-Equille, L.2    Hu, Y.3    Srivastava, D.4
  • 17
    • 46649106686 scopus 로고    scopus 로고
    • Conditional functional dependencies for capturing data inconsistencies
    • W. Fan, F. Geerts, X. Jia, and A. Kementsietsidis. Conditional functional dependencies for capturing data inconsistencies. TODS, 33(1), 2008.
    • (2008) TODS , vol.33 , Issue.1
    • Fan, W.1    Geerts, F.2    Jia, X.3    Kementsietsidis, A.4
  • 18
    • 84865086832 scopus 로고    scopus 로고
    • Reasoning about record matching rules
    • W. Fan, X. Jia, J. Li, and S. Ma. Reasoning about record matching rules. In VLDB, 2009.
    • (2009) VLDB
    • Fan, W.1    Jia, X.2    Li, J.3    Ma, S.4
  • 19
    • 84858615261 scopus 로고    scopus 로고
    • Towards certain fixes with editing rules and master data
    • W. Fan, J. Li, S. Ma, N. Tang, and W. Yu. Towards certain fixes with editing rules and master data. In VLDB, 2010.
    • (2010) VLDB
    • Fan, W.1    Li, J.2    Ma, S.3    Tang, N.4    Yu, W.5
  • 20
    • 1542305821 scopus 로고
    • A systematic approach to automatic edit and imputation
    • I. Fellegi and D. Holt. A systematic approach to automatic edit and imputation. J. American Statistical Association, 71(353):17-35, 1976.
    • (1976) J. American Statistical Association , vol.71 , Issue.353 , pp. 17-35
    • Fellegi, I.1    Holt, D.2
  • 22
    • 79960023714 scopus 로고    scopus 로고
    • Record linkage with uniqueness constraints and erroneous values
    • S. Guo, X. Dong, D. Srivastava, and R. Zajac. Record linkage with uniqueness constraints and erroneous values. PVLDB, 3(1), 2010.
    • (2010) PVLDB , vol.3 , Issue.1
    • Guo, S.1    Dong, X.2    Srivastava, D.3    Zajac, R.4
  • 23
    • 84943817322 scopus 로고
    • Error detecting and error correcting codes
    • R. W. Hamming. Error detecting and error correcting codes. Bell System Technical Journal, 29(2):147-160, 1950.
    • (1950) Bell System Technical Journal , vol.29 , Issue.2 , pp. 147-160
    • Hamming, R.W.1
  • 24
    • 0013331361 scopus 로고    scopus 로고
    • Real-world data is dirty: Data cleansing and the merge/purge problem
    • M. A. Hernandez and S. Stolfo. Real-World Data is Dirty: Data Cleansing and the Merge/Purge Problem. Data Mining and Knowledge Discovery, 2(1):9-37, 1998. (Pubitemid 128696797)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.1 , pp. 9-37
    • Hernandez, M.A.1    Stolfo, S.J.2
  • 28
    • 77954714416 scopus 로고    scopus 로고
    • ERACER: A database approach for statistical inference and data cleaning
    • C. Mayfield, J. Neville, and S. Prabhakar. ERACER: a database approach for statistical inference and data cleaning. In SIGMOD, 2010.
    • (2010) SIGMOD
    • Mayfield, C.1    Neville, J.2    Prabhakar, S.3
  • 29
    • 35448996363 scopus 로고    scopus 로고
    • Data fusion in three steps: Resolving schema, tuple, and value inconsistencies
    • F. Naumann, A. Bilke, J. Bleiholder, and M. Weis. Data fusion in three steps: Resolving schema, tuple, and value inconsistencies. IEEE Data Eng. Bull., 29(2), 2006.
    • (2006) IEEE Data Eng. Bull. , vol.29 , Issue.2
    • Naumann, F.1    Bilke, A.2    Bleiholder, J.3    Weis, M.4
  • 31
    • 0031988304 scopus 로고    scopus 로고
    • The impact of poor data quality on the typical enterprise
    • T. Redman. The impact of poor data quality on the typical enterprise. Commun. ACM, 2:79-82, 1998.
    • (1998) Commun. ACM , vol.2 , pp. 79-82
    • Redman, T.1
  • 32
    • 74549201636 scopus 로고    scopus 로고
    • Discovering matching dependencies
    • S. Song and L. Chen. Discovering matching dependencies. In CIKM, 2009.
    • (2009) CIKM
    • Song, S.1    Chen, L.2
  • 35
    • 29844441371 scopus 로고    scopus 로고
    • Dogmatix tracks down duplicates in XML
    • M. Weis and F. Naumann. Dogmatix tracks down duplicates in XML. In SIGMOD, 2005.
    • (2005) SIGMOD
    • Weis, M.1    Naumann, F.2
  • 36
    • 71349088450 scopus 로고    scopus 로고
    • Generic entity resolution with negative rules
    • S. E. Whang, O. Benjelloun, and H. Garcia-Molina. Generic entity resolution with negative rules. VLDB J., 18(6), 2009.
    • (2009) VLDB J. , vol.18 , Issue.6
    • Whang, S.E.1    Benjelloun, O.2    Garcia-Molina, H.3
  • 37
    • 33745206041 scopus 로고    scopus 로고
    • Database repairing using updates
    • DOI 10.1145/1093382.1093385
    • J. Wijsen. Database repairing using updates. TODS, 30(3):722-768, 2005. (Pubitemid 43906382)
    • (2005) ACM Transactions on Database Systems , vol.30 , Issue.3 , pp. 722-768
    • Wijsen, J.1
  • 39
    • 0018019231 scopus 로고
    • Compression of individual sequences via variable-rate coding
    • J. Ziv and A. Lempel. Compression of individual sequences via variable-rate coding. IEEE TIT, 24(5), 1978.
    • (1978) IEEE TIT , vol.24 , Issue.5
    • Ziv, J.1    Lempel, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.