CorClass: Correlated association rule mining for classification

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

Volumn 3245, Issue , 2004, Pages 60-72

  Zimmermann, Albrecht ^a   De Raedt, Luc ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; BRANCH AND BOUND METHOD;

ASSOCIATIVE CLASSIFICATION; ASSOCIATIVE CLASSIFICATION ALGORITHMS; BRANCH-AND-BOUND ALGORITHMS; MINIMUM SUPPORT; NOVEL ALGORITHM; POST PROCESS; RULE INDUCTION ALGORITHMS; RULE SET;

DATA MINING;

EID: 35048886120     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30214-8_5     Document Type: Article

References (17)

1. Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, New York, USA, AAAI Press (1998) 80-86
2. Li, W., Han, J., Pei, J.: CMAR: Accurate and efficient classification based on multiple class-association rules. In: Proceedings of the 2001 IEEE International Conference on Data Mining, San Jose, California, USA, IEEE Computer Society (2001) 369-376
3. Cohen, W.W.: Fast effective rule induction. In: Proceedings of the 12th International Conference on Machine Learning, Tahoe City, California, USA, Morgan Kaufman (1995) 115-123
4. Frank, E., Witten, I.H.: Generating accurate rule sets without global optimization. In: Proceedings of the 15th International Conference on Machine Learning, Madison, Wisconsin, USA, Morgan Kaufmann (1998) 144-151
5. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann (1993)
6. Mutter, S.: Classification using association rules. Master's thesis, Albert-Ludwigs-Universitä Freiburg/University of Waikato, Freiburg, Germany/Hamilton, New Zealand (2004)
7. Clark, P., Niblett, T.: The CN2 induction algorithm. Machine Learning 3 (1989) 261-283
8. Morishita, S., Sese, J.: Traversing itemset lattices with statistical metric pruning. In: Proceedings of the 19th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, ACM (2000) 226-236
9. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proceedings of the 20th International Conference on Very Large Databases, Santiago de Chile, Chile, Morgan Kaufmann (1994) 487-499
10. Han, J., Pei, J., Yin, Y.: Mining frequent patterns without candidate generation. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, Dallas, Texas, USA, ACM (2000) 1-12
11. Scheffer, T.: Finding association rules that trade support optimally against confidence. In: Proceedings of the 5th European Conference on Principles and Practice of Knowledge Discovery in Databases. Lecture Notes in Computer Science, Freiburg, Germany, Springer (2001) 424-435
12. Boström, H.: Rule Discovery System User Manual. Compumine AB. (2003)
13. Lindgren, T., Boström, H.: Resolving rule conflicts with double induction. In: Proceedings of the 5th International Symposium on Intelligent Data Analysis. Lecture Notes in Computer Science, Berlin, Germany, Springer (2003) 60-67
14. Gluck, M., Corter, J.: Information, uncertainty, and the utility of categories. In: Proceedings of the 7th Annual Conference of the Cognitive Science Society International Conference on Knowledge Discovery and Data Mining, Irvine, California, USA, Lawrence Erlbaum Associate (1985) 283-287
15. Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Proceedings of the 13th International Joint Conference on Artificial Intelligence, Chambéry, France, Morgan Kaufmann (1993) 1022-1029
16. Frank, E., Witten, I.H.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann (1999)
17. Todorovski, L., Flach, P.A., Lavrac, N.: Predictive performance of weighted relative accuracy. In: Proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases. Lecture Notes in Computer Science, Lyon, France, Springer (2000) 255-264