Identifying the Risk of Attribute Disclosure by Mining Fuzzy Rules

Communications in Computer and Information Science

Volumn 80 PART 1, Issue , 2010, Pages 455-464

  Díaz, Irene ^a   Ranilla, José ^a   Rodríguez Muniz, Luis J ^a   Troiano, Luigi ^b  

^a UNIVERSITY OF OVIEDO   (Spain)

^b UNIVERSITY OF SANNIO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY APPROACH; SENSITIVE INFORMATIONS;

DATA PROCESSING; DECISION TREES; FUZZY RULES; KNOWLEDGE BASED SYSTEMS;

INFORMATION MANAGEMENT;

EID: 84856850753     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-14055-6_47     Document Type: Conference Paper

References (13)

1. Domingo-Ferrer, J., Torra, V.: On the connections between statistical disclosure control for microdata and some artificial intelligence tools. Inf. Sci. Inf. Comput. Sci. 151, 153-170 (2003)
2. Joachims, T.: Making large-scale support vector machine learning practical. In: Smola, A., Scholkopf, B., Burges, C. (eds.) Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge (1998)
3. Li, N., Li, T.: T-closeness: Privacy beyond k-anonymity and?-diversity. In: Proceedings of IEEE International Conference on Data Engineering (2007)
4. Machanavajjhala, A., Gehrke, J., Kifer, D., Venkitasubramaniam, M.: l-diversity: Privacy beyond k-anonymity. In: 22nd IEEE International Conference on Data Engineering (2006)
5. Pal, N.R., Chakraborty, S.: Fuzzy rule extraction from id3-type decision trees for real data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(5), 745-754 (2001)
6. Pham, D.T., Bigot, S., Dimov, S.S.: Rules-f: a fuzzy inductive learning algorithm. In: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, pp. 1433-1444 (2006)
7. Quinlan, R.: c4.5: Programs of machine learning (1993)
8. Ranilla, J., Luaces, O., Bahamonde, A.: A heuristic for learning decision trees and pruning them into classification rules. AICom (Artificial Intelligence Communication) 16(2) (2003) (in press)
9. Ranilla, J., Antonio, B.: Fan: Finding accurate inductions. International Journal of Human Computer Studies 56(4), 445-474 (2002)
10. Ranilla, J., Rodriguez-Muniz, L.J.: A heuristic approach to learning rules from fuzzy databases. IEEE Intelligent Systems 22(2), 62-68 (2007)
11. Samarati, P.: Protecting respondents' identities in microdata release. IEEE Transactions on Knowledge and Data Engineering 13, 1010-1027 (2001)
12. Sun, X., Wang, H., Li, J., Ross, D.: Achieving p-sensitive k-anonymity via anatomy. In: Proceedings of the 2009 IEEE International Conference on e-Business Engineering, Washington, DC, USA, pp. 199-205. IEEE Computer Society, Los Alamitos (2009)
13. Willenborg, L., de Waal, T.: Statistical Disclosure Control in Practice. Springer, Heidelberg (1996)