-
1
-
-
0002696312
-
Matching records in a national medical patient index
-
Sept
-
Bell, G. and Sethi, A. Matching records in a national medical patient index. Commun. ACM 44, 9 (Sept. 2001), 83-88.
-
(2001)
Commun. ACM
, vol.44
, Issue.9
, pp. 83-88
-
-
Bell, G.1
Sethi, A.2
-
2
-
-
0037365358
-
Learning to match the schemas of data sources: A multistrategy approach
-
Mar
-
Doan, A. and Domingo:, P. Learning to match the schemas of data sources: A multistrategy approach. Machine Learning 50, 3 (Mar. 2003), 279-301.
-
(2003)
Machine Learning
, vol.50
, Issue.3
, pp. 279-301
-
-
Doan, A.1
Domingo, P.2
-
3
-
-
0036885479
-
DIRECT: A system for mining data value conversion rules from disparate sources
-
Dec
-
Fan, W., Lu, H., Madnick, S., and Cheung, D. DIRECT: A system for mining data value conversion rules from disparate sources. Decision Support Systems 34, 1 (Dec. 2002), 19-39.
-
(2002)
Decision Support Systems
, vol.34
, Issue.1
, pp. 19-39
-
-
Fan, W.1
Lu, H.2
Madnick, S.3
Cheung, D.4
-
5
-
-
33845957513
-
Data integration using Web services
-
Springer
-
Hansen, M., Madnick, S., and Siegel, M. Data integration using Web services. In Lecture Notes in Computer Science 2590. Springer, 2003, 165-182.
-
(2003)
Lecture Notes in Computer Science
, vol.2590
, pp. 165-182
-
-
Hansen, M.1
Madnick, S.2
Siegel, M.3
-
6
-
-
0013331361
-
Real-world data is dirty: Data cleansing and the merge/purge problem
-
Jan
-
Hernandez, M. and Stolfo, S. Real-world data is dirty: Data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery 2, 1 (Jan. 1998), 9-37.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.1
, pp. 9-37
-
-
Hernandez, M.1
Stolfo, S.2
-
7
-
-
0034173996
-
SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks
-
Apr
-
Li, W. and Clifton, C. SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data & Knowledge Engineering 33, 1 (Apr. 2000), 49-84.
-
(2000)
Data & Knowledge Engineering
, vol.33
, Issue.1
, pp. 49-84
-
-
Li, W.1
Clifton, C.2
-
8
-
-
3042518475
-
Detecting both schema-level and instance-level correspondences for the integration of e-catalogs
-
New Orleans, Dec. 15-16
-
Ram, S. and Zhao, H. Detecting both schema-level and instance-level correspondences for the integration of e-catalogs. In Proceedings of the Workshop on Information Technology and Systems (New Orleans, Dec. 15-16, 2001), 187-192.
-
(2001)
Proceedings of the Workshop on Information Technology and Systems
, pp. 187-192
-
-
Ram, S.1
Zhao, H.2
-
9
-
-
0035545848
-
Learning object identification rules for information integration
-
Dec
-
Tejada, S., Knoblock, C., and Minton, S. Learning object identification rules for information integration. Information Systems 26, 8 (Dec. 2001), 607-633.
-
(2001)
Information Systems
, vol.26
, Issue.8
, pp. 607-633
-
-
Tejada, S.1
Knoblock, C.2
Minton, S.3
-
10
-
-
0034228352
-
Automating the approximate record-matching process
-
July
-
Verykios, V., Elmagarmid, A., and Houstis, E. Automating the approximate record-matching process. Information Sciences 126, 1-4 (July 2000), 83-98.
-
(2000)
Information Sciences
, vol.126
, Issue.1-4
, pp. 83-98
-
-
Verykios, V.1
Elmagarmid, A.2
Houstis, E.3
-
11
-
-
5644287747
-
Entity identification for heterogeneous database integration: A multiple classifier system approach and empirical evaluation
-
Apr
-
Zhao, H. and Ram, S. Entity identification for heterogeneous database integration: A multiple classifier system approach and empirical evaluation. Information Systems 30, 2 (Apr. 2005), 119-132.
-
(2005)
Information Systems
, vol.30
, Issue.2
, pp. 119-132
-
-
Zhao, H.1
Ram, S.2
-
12
-
-
4444314464
-
Clustering schema elements for semantic integration of heterogeneous data sources
-
Jan.-Mar
-
Zhao, H. and Ram, S. Clustering schema elements for semantic integration of heterogeneous data sources. Journal of Database Management 15, 4 (Jan.-Mar. 2004), 88-106.
-
(2004)
Journal of Database Management
, vol.15
, Issue.4
, pp. 88-106
-
-
Zhao, H.1
Ram, S.2
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