Extended action rule discovery based on single classification rules and reducts

Rough Computing: Theories, Technologies and Applications

Volumn , Issue , 2007, Pages 175-184

  Ras, Zbigniew W ^a   Wyrzykowska, Elzbieta M ^b  

^a UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

^b WARSAW SCHOOL OF INFORMATION TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING; COMPUTER SCIENCE;

ACTION RULES; CLASSIFICATION RULES; DECISION SYSTEMS; REDUCTS; SIMPLIFIED STRATEGIES; STRATEGY OF CONSTRUCTIONS; TIME COMPLEXITY; TREE-BASED;

CLASSIFICATION (OF INFORMATION);

EID: 84899236883     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-552-8.ch008     Document Type: Chapter

References (16)

1. Adomavicius, G., & Tuzhilin, A. (1997). Discovery of actionable patterns in databases: The action hierarchy approach. In Proceedings of KDD97 Conference. Newport Beach, CA: AAAI Press
2. th European Conference on AI (pp. 532-536). John Wiley & Sons.
3. Greco, S., Matarazzo, B., Pappalardo, N., & Slowinski, R. (2005). Measuring expected effects of interventions based on decision rules. Journal of Experimental and Theoretical Artificial Intelligence, Taylor Francis, 17(1-2).
4. Grzymala-Busse, J. (1997). A new version of the rule induction system LERS. Fundamenta Informaticae, 31(1), 27-39.
5. Liu, B., Hsu, W., & Chen, S. (1997). Using general impressions to analyze discovered classification rules. In Proceedings of KDD97 Conference. Newport Beach, CA: AAAI Press.
6. Pawlak, Z. (1991). Information systems- theoretical foundations. Information Systems Journal, 6, 205-218.
7. Ras, Z. (1999). Discovering rules in information trees In J. Zytkow & J. Rauch (Eds.), Principles of Data Mining and Knowledge Discovery, Proceedings of PKDD'99, Prague, Czech Republic, LNAI, No. 1704 (pp. 518-523). Springer.
8. Ras, Z.W., & Dardzinska, A. (2006). Action rules discovery, a new simplified strategy. In F. Esposito et al., Foundations of Intelligent Systems, Proceedings of ISMIS'06, Bari, Italy, LNAI, No. 4203 (pp. 445-453). Springer.
9. Ras Z., & Tsay, L.-S. (2003). Discovering extended actions-rules, System DEAR. In Intelligent Information Systems 2003, Advances in software computing. In Proceedings of IIS2003 Symposium, Zakopane, Poland (pp. 293-300).
10. Ras, Z.W., Tzacheva, A., & Tsay, L.-S. (2005). Action rules. In J. Wang (Ed.), Encyclopedia of data warehousing and mining (pp. 1-5). Idea Group Inc.
11. Ras, Z., & Wieczorkowska, A. (2000). Action rules: How to increase profit of a company. In D.A. Zighed, J. Komorowski, & J. Zytkow (Eds.), Principles of data mining and knowledge discovery, Proceedings of PKDD'00, Lyon, France, LNAI, No. 1910 (pp. 587-592). Springer.
12. Silberschatz, A., & Tuzhilin, A., (1995). On subjective measures of interestingness in knowledge discovery. In Proceedings of KDD'95 Conference. AAAI Press
13. Silberschatz, A., & Tuzhilin, A. (1996). What makes patterns interesting in knowledge discovery systems. IEEE Transactions on Knowledge and Data Engineering, 5(6).
14. Tsay, L.-S., & Ras, Z.W. (2005). Action rules discovery system DEAR, method and experiments. Journal of Experimental and Theoretical Artificial Intelligence, 17(1-2), 119-128.
15. Tsay, L.-S., & Ras, Z.W. (2006). Action rules discovery system DEAR3. In F. Exposito et al. (Eds.), Foundations of Intelligent Systems, Proceedings of ISMIS'06, Bari, Italy, LNAI, No. 4203 (pp. 483-492). Springer.
16. Tzacheva, A., & Ras, Z.W. (2005). Action rules mining. International Journal of Intelligent Systems, 20(7), 719-736.