Representative association rules and minimum condition maximum consequence association rules

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

Volumn 1510, Issue , 1998, Pages 361-369

  Kryszldewicz, Marzena ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS;

CONSEQUENCE RULES; COVER OPERATORS; LARGE DATABASE; MINING PROBLEMS; SET OF RULES;

ASSOCIATION RULES;

EID: 84947808231     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (11)

1. Kryszkiewicz, M.: Representative Association Rules. In: Proc. of PAKDD '98. Melboume, Australia. Lecture Notes in Artificial Intelligence 1394. Research and Development in Knowledge Discovery and Data Mining. Springer-Verlag (1998) 198-209
2. Agraval, R., Imielinski, T., Swami, A.: Mining Associations Rifles between Sets of Items in Large Databases. In: Proc. of the ACM SIGMOD Conference on Management of Data. Washington, D.C. (1993) 207-216
3. Srikant, R., Agraval, R.: Mining Generalized Association Rifles. In: Proc. of the 21 st VLDB Conference. Zurich, Swizerland (1995) 407-419
4. Meo, R., Psaila, G., Ceri, S.: A New SQL-like Operator for Mining Association Rifles. In: Proc. of the 22rid VLDB Conference. Mumbai (Bombay), India (1996)
5. Comlmmications of the ACM, November 1996, Vol. 39. No 11. (1996)
6. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthttrusamy, R. (eds.): Advances in Knowledge Discovery and Data Mining. AAAI, Menlo Park, California (1996)
7. Piatetsky-Shapiro, G.: Discovery, Analysis and Presentation of Strong Rules. In: Piatetsky-Shapiro, G., Frawley, W. (eds.): Knowledge Discovery in Databases. AAAI/MIT Press, Menlo Park, CA (1991) 229-248
8. Washio, T., Matsuura, H., Motoda, H., Mining Association Rules for Estimation and Prediction. In: Proc. of PAKDD '98. Melbourne, Australia. Lecture Notes in Artificial Intelligence 1394. Research and Development in Knowledge Discovery and Data Mining. Springer-Verlag (1998) 417-419
9. Kryszkiewicz, M., Fast Discovery of Representative Association Rules. To appear in Proc. of RSCTC '98. Rough Sets and Current Trends in Computing. Springer-Vedag. Warsaw, Poland (1998) 214-221
10. Agraval, R., Marmila, H., Srikant, R., Toivonen, H., Verkamo, A.I.: Fast Discovery of Association Rules. In: [6] (1996) 307-328
11. Savasere, A, Omiecinski, E., Navathe, S.: An Efficient Algorithm for Mining Association Rules in Large Databases. In: Proc. of the 21st VLDB Conference. Zurich, Swizerland (1995) 432-444