Selective association rule generation

Computational Statistics

Volumn 23, Issue 2, 2008, Pages 303-315

  Hahsler, Michael ^a   Buchta, Christian ^a   Hornik, Kurt ^a  

^a VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Austria)

Author keywords

Association rules; Data mining; Rule generation

Indexed keywords

EID: 41849127968     PISSN: 09434062     EISSN: 16139658     Source Type: Journal    
DOI: 10.1007/s00180-007-0062-z     Document Type: Article

References (23)

1. Agrawal R, Imielinski T, Swami A (1993) Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD international conference on management of data. ACM Press, pp 207-216
2. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Bocca JB, Jarke M, Zaniolo C (eds) Proceedings of the 20th international conference on very large data bases, VLDB. Morgan Kaufmann, pp 487-499
3. Bayardo RJ, Agrawal R, Gunopulos D (2000) Constraint-based rule mining in large, dense databases. Data Mining Knowled Discov 4(2/3):217-240
4. Borgelt C (2003) Efficient implementations of Apriori and Eclat. In: FIMI'03: Proceedings of the IEEE ICDM workshop on frequent itemset mining implementations
5. Borgelt C (2006) Apriori-Association rule induction, School of Computer Science, Otto-von-Guericke-University of Magdeburg. http://fuzzy.cs.uni- magdeburg.de/~borgelt/apriori.html
6. Borgelt C, Kruse R (2002) Induction of association rules: Apriori implementation. In: Proceedings of the 15th conference on computational statistics (Compstat 2002, Berlin, Germany). Physika Verlag, Heidelberg
7. Creighton C, Hanash S (2003) Mining gene expression databases for association rules. Bioinformatics 19(1):79-86
8. Goethals B, Zaki MJ (2004) Advances in frequent itemset mining implementations: Report on FIMI'03. SIGKDD Explorations 6(1):109-117
9. Hahsler M, Buchta C, Grün B, Hornik K (2007) arules: Mining Association Rules and Frequent Itemsets. R package version 0.6-0. http://CRAN.R-project.org/
10. Hipp J, Güntzer U, Nakhaeizadeh G (2000) Algorithms for association rule mining-a general survey and comparison. SIGKDD Explorations 2(2):1-58
11. Imielinski T, Virmani A (1998) Association rules. and what's next? towards second generation data mining systems. In: Proceedings of the second East European symposium on advances in databases and information systems. Lecture notes in computer science, vol 1475. Springer, London, pp 6-25
12. Klemettinen M, Mannila H, Ronkainen P, Toivonen H, Verkamo AI (1994) Finding interesting rules from large sets of discovered association rules. In: Adam NR, Bhargava BK, Yesha Y (eds) Third international conference on information and knowledge management (CIKM'94). ACM Press, pp 401-407
13. Knuth D (1997) The art of computer programming, sorting and searching, vol 3, 3rd edn. Digital searching, pp 492-512
14. Kohavi R (1996) Scaling up the accuracy of Naïve-Bayes classifiers: a decision-tree hybrid. In: Proceedings of the second international conference on knowledge discovery and data mining, pp 202-207
15. Kohavi R, Brodley C, Frasca B, Mason L, Zheng Z (2000) KDD-Cup 2000 organizers report: peeling the onion. SIGKDD Explorat 2(2):86-98
16. Luo J, Bridges S (2000) Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection. Int J Intell Syst 15(8):687-703
17. Newman DJ, Hettich S, Blake CL, Merz CJ (1998) UCI Repository of Machine Learning Databases, University of California, Irvine, Department of Information and Computer Sciences. http://www.ics.uci.edu/~mlearn/MLRepository.html
18. Pasquier N, Bastide Y, Taouil R, Lakhal L (1999) Discovering frequent closed itemsets for association rules. In: Proceeding of the 7th international conference on database theory. Lecture notes in computer science (LNCS 1540). Springer, Heidelberg, pp 398-416
19. Piatetsky-Shapiro G (1991) Discovery, analysis, and presentation of strong rules. In: Piatetsky-Shapiro G, Frawley WJ (eds). Knowledge discovery in databases. AAAI/MIT Press, Cambridge, MA
20. Srikant R, Vu Q, Agrawal R (1997) Mining association rules with item constraints. In: Heckerman D, Mannila H, Pregibon D, Uthurusamy R (eds) Proceedings of the 3rd international conference on knowledge discovery and data mining, KDD. AAAI Press, pp 67-73
21. Srivastava J, Cooley R, Deshpande M, Tan P-N (2000) Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explorat 1(2):12-23
22. Tan P-N, Kumar V, Srivastava J (2004) Selecting the right objective measure for association analysis. Inf Syst 29(4):293-313
23. Zaki MJ (2004) Mining non-redundant association rules. Data Mining Knowled Discov 9:223-248