A metric for selection of the most promising rules

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

Volumn 1510, Issue , 1998, Pages 19-27

  Gago, Pedro ^a,b   Bento, Carlos ^b  

^a POLYTECHNIC INSTITUTE OF LEIRIA   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

APPLICATION EXAMPLES; DATA MINING ALGORITHM; FINANCIAL DOMAINS; KNOWLEDGE DISCOVERY IN DATABASE; LARGE AMOUNTS OF DATA; PRE-PROCESSING STEP; PREDICTIVE POWER; SYSTEM PREDICTION;

DATA MINING;

EID: 84947780591     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0094801     Document Type: Conference Paper

References (9)

1. Gomes, P., Bento, C., Gago, P., Costa, E.: Towards a Case-Based Model for Creative Processes. Proceedings of the 12 th European Conference on Artificial Intelligence (1996) 122-126.
2. Kamber, M., Shingal, R.: Evaluating the Interestingness of Characteristic Rules. Proceedings of the Second International Conference on Knowledge Discovery & Data Mining (1995) 263-266.
3. Klementinen, M., Mannila, H., Ronkainen, P., Toivonen, H., Verkamo, A.: Finding Interesting Rules from Large Datasets of Discovered Association Rules. Proceedings of the Third International Conference on Information and Knowledge Management (1994) 401-407.
4. Liu, B., Hsu, W., Chen, S.: Using General Impressions to Analyse Discovered Classification Rules. Proceedings of the Third International Conference on Knowledge Discovery & Data Mining (1997) 31-36.
5. Major, J.A., Mangano, J.: Selecting Among Rules Induced from a Hurricane Database. Proceedings of the AAAI-93 Workshop on Knowledge Discovery in Databases (1993) 28-44.
6. Piatesky-Shapiro, G.: Discovery, Analysis and Presentation of Strong Rules. G. Piatesky-Shapiro 8J W.J. Frawley, eds., Knowledge Discovery in Databases. Menlo Park, CA: AAAI/MIT Press. (1991) 229-248.
7. Piatesky-Shapiro, G., Matheus, C.J.: The Interestingness of Deviations. Proceedings of the AAAI-94 Workshop on Knowledge Discovery in Databases (1994) 25-36.
8. Silberschatz, A., Tuzhilin, A.: What Makes Paterns Interesting in Knowledge Discovery Systems. IEEE Trans. On Know. and Data Eng. 8(6) (1996) 970-974.
9. st VLDB conference (1995) 407-419