Combining quality measures to identify interesting association rules

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3315, Issue , 2004, Pages 441-453

  Melanda, Edson Augusto ^a,b   Rezende, Solange Oliveira ^b  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Association Rules; Objective Measures; Post processing

Indexed keywords

DATA ACQUISITION; DATA MINING; DATA PROCESSING; DATA STORAGE EQUIPMENT; DATABASE SYSTEMS; ELECTRONIC COMMERCE; GRAPH THEORY; MATHEMATICAL MODELS; SET THEORY; ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; FILTRATION;

ASSOCIATION RULES; GEO-PROCESSING; OBJECTIVE MEASURES; POST-PROCESSING; DATABASE TRANSACTIONS; GEOPROCESSING; HUMAN USERS; INTERESTING RULES; OBJECTIVE MEASURE; POST PROCESSING; QUALITY MEASURES; TRADITIONAL COMMERCE;

KNOWLEDGE BASED SYSTEMS; DATA MINING;

EID: 22944434543     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30498-2_44     Document Type: Conference Paper

References (13)

1. Baesens, B., Viaene, S., Vanthienen, J.: Post-processing of association rules. In: Proceedings of the special workshop on post-processing, The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2000), Boston, MA, USA (2000) 2-8
2. Liu, B., Hsu, W., Chen, S., Ma, Y.: Analyzing the subjective interestingness of association rules. IEEE Intelligent Systems & their Applications 15 (2000) 47-55
3. Semenova, T., Hegland, M., Graco, W., Williams, G.: Effectiveness of mining association rules for identifying trends in large health databases. In Kurfess, F.J., Hilario, M., eds.: Workshop on Integrating Data Mining and Knowledge Management, The 2001 IEEE International Conference on Data Mining - ICDM'01, San Jose, California, USA (2001)
4. Jorge, A., Poças, J., Azevedo, P.: A post-processing environment for browsing large sets of association rules. In Simoff, S.J., Noirhomme-Fraiture, M., Böhlen, M.H., eds.: 2ndInternational Workshop on Visual Data Mining, 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-02), Helsinki, Finland (2002) 43-54
5. Bruzzese, D., Davino, C.: Visual post-analysis of association rules. In Simoff, S.J., Noirhomme-Fraiture, M., Böhlen, M.H., eds.: 2ndInternational Workshop on Visual Data Mining, 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-02), Helsinki, Finland (2002) 55-66
6. Hilderman, R.J., Hamilton, H.J.: Applying objective interestingness measures in data mining systems. In Zighed, D., Komorowski, J., eds.: Proceedings of the 4th European Symposium on Principles of Data Mining and Knowledge Discovery, Lyon, France, Springer-Verlag (2000) 432-439 Lecture Notes in Artificial Intelligence.
7. Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In Buneman, P., Jajodia, S., eds.: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C. (1993) 207-216
8. Adamo, J.M.: Data Mining for Association Rules and Sequential Patterns. Springer-Verlag, New York, NY (2001)
9. Wang, K., Tay, S.H.W., Liu, B.: Interestingness-based interval merger for numeric association rules. In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD'98), New York City, New York, USA (1998) 121-128
10. Tan, P., Kumar, V., Srivastava, J.: Selecting the right interestingness measure for association patterns. In: Proceedings of the Eight ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (2002)
11. Lavrač, N., Flach, P., Zupan, R.: Rule evaluation measures: A unifying view. In Dzeroski, S., Flach, P., eds.: Proceedings of the Ninth International Workshop on Inductive Logic Programming (ILP-99). Volume 1634., Springer-Verlag (1999) 74-185 Lecture Notes in Artificial Intelligence.
12. Melanda, E.A., Rezende, S.O.: Investigação do comportamento gráfico de medidas para regras de associação. Relatório Técnico 230, ICMC-USP, São Carlos (2004)
13. Kohavi, R., Brodley, C., Frasca, B., Mason, L., Zheng, Z.: KDD-Cup 2000 organizers' report: Peeling the onion. SIGKDD Explorations 2 (2000) 86-98 http://www.ecn.purdue.edu/KDDCUP.