XML duplicate detection using sorted neighborhoods

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3896 LNCS, Issue , 2006, Pages 773-791

  Puhlmann, Sven ^a   Weis, Melanie ^a   Naumann, Felix ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CUSTOMER SATISFACTION; DATA PROCESSING; DATA STRUCTURES; DATA WAREHOUSES; INDUSTRIAL RELATIONS;

CUSTOMER RELATIONSHIP; XML DATA MODEL; XML DUPLICATE DETECTION; XML DUPLICATES;

XML;

EID: 33745589488     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11687238_46     Document Type: Conference Paper

References (20)

1. Winkler, W.E.: Advanced methods for record linkage. Technical report, Statistical Research Division, U.S. Census Bureau, Washington, DC (1994)
2. Hernández, M.A., Stolfo, S.J.: The merge/purge problem for large databases. In: SIGMOD Conference, San Jose, CA (1995) 127-138
3. Lim, E.P., Srivastava, J., Prabhakar, S., Richardson, J.: Entity identification in database integration. In: ICDE Conference, Vienna, Austria (1993) 294-301
4. Doan, A., Lu, Y., Lee, Y., Han, J.: Object matching for information integration: A profiler-based approach, IEEE Intelligent Systems, pages 54-59 (2003)
5. Ananthakrishna, R., Chaudhuri, S., Ganti, V.: Eliminating fuzzy duplicates in data warehouses. In: International Conference on VLDB, Hong Kong, China (2002)
6. Guha, S., Jagadish, H.V., Koudas, N., Srivastava, D., Yu, T.: Approximate XML joins. In: SIGMOD Conference, Madison, Wisconsin, USA (2002) 287-298
7. Dong, X., Halevy, A., Madhavan, J.: Reference reconciliation in complex information spaces. In: SIGMOD Conference, Baltimore, MD (2005) 85-96
8. Weis, M., Naumann, F.: DogmatiX Tracks down Duplicates in XML, In: SIGMOD Conference, Baltimore, MD (2005)
9. Newcombe, H., Kennedy, J., Axford, S., James, A.: Automatic linkage of vital records. Science 130 (1959) no. 3381 (1959) 954-959
10. Fellegi, I.P., Sunter, A.B.: A theory for record linkage. Journal of the American Statistical Association (1969)
11. Jaro; M.A.: Probabilistic linkage of large public health data files. Statistics in Medicine 14 (1995) 491-498
12. Quass, D., Starkey, P.: Record linkage for genealogical databases. In: KDD Workshop on Data Cleaning, Record Linkage, and Object Consolidation, Washington, DC (2003) 40-42
13. Hernández, M.A., Stolfo, S.J.: Real-world data is dirty: Data cleansing and the merge/purge problem, Data Mining and Knowledge Discovery 2(1) (1998) 9-37
14. Monge, A.E., Elkan, C.P.: An efficient domain-independent algorithm for detecting approximately duplicate database records. In: SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Tuscon, AZ (1997) 23-29
15. Kailing, K., Kriegel, H.P., Schnauer, S., Seidl, T.: Efficient similarity search for hierarchical data in large databases, International Conference on EDBT (2002) 676-693
16. Carvalho, J.C., da Silva, A.S.: Finding similar identities among objects from multiple web sources. In: CIKM Workshop on Web Information and Data Management, New Orleans, Louisiana, USA (2003) 90-93
17. Weis, M., Naumann, F.: Duplicate detection in XML, In: SIGMOD Workshop on Information Quality in Information Systems, Paris, France (2004) 10-19
18. Smith, T.F., Waterman, M.S.: Identification of common molecular subsequences, In: Journal of Molecular Biology, Volume 147, (1981) 195-197
19. Hernández, M. A.: A Generalization of Band Joins and The Merge/Purge Problem. PhD thesis, Columbia University, Department of Computer Science, New York (1996)
20. Lehti, P., Fankhauser, P.: A precise blocking method for record linkage. In: International Conference on Data Warehousing and Knowledge Discovery (DaWaK, Copenhagen, Denmark (2005) 210-220