Parallelizing record linkage for disclosure risk assessment

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

Volumn 5262 LNCS, Issue , 2008, Pages 190-202

  Guisado Gámez, Joan ^a   Prat Pérez, Arnau ^a   Nin, Jordi ^b   Muntés Mulero, Victor ^a   Larriba Pey, Josep Ll ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b CSIC   (Spain)

Author keywords

Disclosure risk evaluation; Distributed computing; Parallel computing; Record linkage

Indexed keywords

DATA PRIVACY; DISTRIBUTED COMPUTER SYSTEMS; PARALLEL PROCESSING SYSTEMS;

CONFIDENTIAL DATA; DISCLOSURE RISK; DISCLOSURE RISK EVALUATION; DISTRIBUTED COMPUTATIONS; DISTRIBUTED ENVIRONMENTS; PARALLELIZATIONS; PROTECTION METHODS; RECORD LINKAGE;

RISK ASSESSMENT;

EID: 56849107086     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87471-3_16     Document Type: Conference Paper

References (18)

1. Ralim, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. The Very Large Database Journal, 334-350 (2001)
2. Newcombe, H.B.: Record linking: The design of efficient systems for linking records into individuals and family histories. American Journal of Human Genetics (1967)
3. Do, H.H., Rahm, E.,: COMA - A system for exible combination of schema matching approaches. In: Proceedings of the 28th Very Large Databases Conference, pp. 610-621 (2002)
4. Kim, H., Lee, D.: Parallel Linkage. In: CIKM, Lisboa, Portugal (2007)
5. http://www.idescat.net
6. Cómez, J., Larriba, J.L., Ribes, J.: Improving Record Linkage Performance. Technical report UPC-DAC-RR-2006-15
7. Jaro, M.A.: Advances in Record Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida. Journal of the American Statistical Society, 414-420 (1989)
8. Atencia, M., Schorlemmer, M.: A formal model for situated semantic alignment. In: Proceedings of the 6th International Conference in Agent and Multiagent Systems (2007)
9. Bilenko, M., Basu, S., Sahami, M.: Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Sopping. In: Proceedings of the 5th lnt'1. Conference on Data Mining 2005, pp. 58-65 (2005)
10. Hernandez, M., Stolfo, S.: The merge/purge problem for large database. In: ACT SGMOD Conf. Proc., pp. 127-138 (1995)
11. Christen, P., Churches, T.: Febrl: Freely extensible biomedical record linkage. Joint Computer Science Technical Report TR-CS-02-05 (2002)
12. Brown, R.G.: Engineering a Beowulf-style Compute Cluster. Duke University Physics Department (2004)
13. Deen, S.M., Amin, R.R., Taylor, M.C.: Data integration in distributed databases. IEEE Transactions on Software Engineering (1987)
14. Sung, S.Y., Li, Z., Peng, S.: A Fast Filtering Scheme for Large Database Cleansing. In: International Conference on Information and Knowledge Management (CIKM), McLean, Virginia,USA (2002)
15. Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics Doklady, 707-710 (1966)
16. Torra, V., Domingo-Ferrer, J.: Record linkage methods for multidatabase data mining. in: information Fusion in Data Mining, pp. 101-132. Springer, Heidelberg (2003)
17. Winkler, W.E.: Data cleaning methods. in: Proc. SIGKDD 2003, Washington (2003)
18. Winkler, W.E.: Re-identification methods for masked microdata. In: Domingo-Ferrer, J., Torra, V. (eds.) PSD 2004. LNCS, vol. 3050, pp. 216-230. Springer, Heidelberg (2004)