Query processing techniques for compliance with data confidence policies

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

Volumn 5776 LNCS, Issue , 2009, Pages 49-67

  Dai, Chenyun ^a   Lin, Dan ^b   Kantarcioglu, Murat ^c   Bertino, Elisa ^a   Celikel, Ebru ^c   Thuraisingham, Bhavani ^c  

^a PURDUE UNIVERSITY   (United States)

^b University of Missouri Rolla   (United States)

^c The University of Texas at Dallas   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIONAL COSTS; CONFIDENCE LEVELS; CONFIDENCE VALUES; CRITICAL ISSUES; DATA INTEGRITY; DATA ITEMS; DECISION MAKERS; HIGH CONFIDENCE; HIGH QUALITY DATA; KEY ELEMENTS; KEY ISSUES; QUERY PROCESSING TECHNIQUES; QUERY RESULTS;

DECISION MAKING; EMBEDDED SYSTEMS; SPACE DIVISION MULTIPLE ACCESS;

COMPUTATIONAL EFFICIENCY;

EID: 70349885377     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04219-5_4     Document Type: Conference Paper

References (17)

1. Ballou, D., Madnick, S.E., Wang, R.Y.: Assuring information quality. Journal of Management Information Systems 20(3), 9-11 (2004)
2. Barbará, D., Garcia-Molina, H., Porter, D.: The management of probabilistic data. IEEE Transactions on Knowledge and Data Engineering 4(5), 487-502 (1992)
3. Bishop, M.: Computer security: Art and science. ch. 6. Addison-Wesley Professional, Reading (2003)
4. Dai, C., Lin, D., Bertino, E., Kantarcioglu, M.: An approach to evaluate data trustworthiness based on data provenance. In: Jonker, W., Petkovíc, M. (eds.) SDM 2008. LNCS, vol.5159, pp. 82-98. Springer, Heidelberg (2008)
5. Dalvi, N., Suciu, D.: Efficient query evaluation on probabilistic databases. In: Proc. VLDB, pp. 864-875 (2004)
6. Ferraiolo, D.F., Sandhu, R., Gavrila, S., Kuhn, D.R., Chandramouli, R.: Proposed nist standard for role-based access control. ACM Trans. Inf. Syst. Secur. 4(3), 224-274 (2001)
7. Fuhr, N., R̈olleke, T.: A probabilistic relational algebra for the integration of information retrieval and database systems. ACM Transactions on Information Systems 15(1), 32-66 (1997)
8. Green, T.J., Tannen, V.: Models for incomplete and probabilistic information. In: Grust, T., HÖpfner, H., Illarramendi, A., Jablonski, S., Mesiti, M., Müller, S., Patranjan, P.-L., Sattler, K.-U., Spiliopoulou, M., Wijsen, J. (eds.) EDBT 2006. LNCS, vol.4254, pp. 278-296. Springer, Heidelberg (2006)
9. Hendrickson, B., Leland, R.: A multilevel algorithm for partitioning graphs. In: Supercomputing (1995)
10. Malin, J.L., Keating, N.L.: The cost-quality trade-off: Need for data quality standards for studies that impact clinical practice and health policy. Journal of Clinical Oncology 23(21), 4581-4584 (2005)
11. McAllester, D.: The rise of nonlinear mathematical programming. ACM Computer Survey, 68 (1996)
12. Missier, P., Embury, S., Greenwood, M., Preece, A., Jin, B.: Quality views: Capturing and exploiting the user perspective on data quality. In: VLDB, pp. 977-988 (2006)
13. Ni, Q., Trombetta, A., Bertino, E., Lobo, J.: Privcy aware role based access control. In: Proceedings of the 12th ACMsymposium on Access control models and technologies (2007)
14. Sarma, A.D., Theobal, M., Widom, J.: Exploiting lineage for confidence computation in uncertain and probabilistic databases. Technical Report, Stanford InfoLab (2007)
15. Simmhan, Y.L., Plale, B., Gannon, D.: A survey of data provenance in e-science. SIGMOD Record 34(3), 31-36 (2005)
16. Tsang, E.: Foundations of constraint satisfaction. Academic Press, London (1993)
17. Wang, R.Y., Storey, V.C., Firth, C.P.: A framework for analysis of data quality research. TKDE 7(4), 623-640 (1995)