Extracting non-redundant approximate rules from multi-level datasets

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 2, Issue , 2008, Pages 333-340

  Shaw, Gavin ^a   Xu, Yue ^a   Geva, Shlomo ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE PROCESSING; TAXONOMIES;

ASSOCIATION RULE MININGS; DATA SETS; INFORMATION DISCOVERIES; LOSSLESS; PROMISING APPROACHES; REDUNDANT RULES; SINGLE LEVELS;

ARTIFICIAL INTELLIGENCE;

EID: 57649155353     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2008.54     Document Type: Conference Paper

References (23)

1. R. Agrawal, T. Imielinski & A. Swami, 'Mining Association Rules between Sets of Items in Large Databases', in ACM SIGMOD International Conference on Management of Data (SIGMOD'93), Washington D.C., USA, 1993, pp. 207-216.
2. R. Agrawal & R. Srikant, 'Fast Algorithms for Mining Association Rules in Large Databases', in 20th International Conference on Very Large Data Bases, Santiago, Chile, 1994, pp. 487-499.
3. F. Bodon, 'A Fast Apriori Implementation', in IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMF03), Melbourne, FL, 2003.
4. A. Das, W.-K. Ng & Y.-K. Woon, 'Rapid Association Rule Mining', in CIKM'01 ACM, Atlanta, Georgia, USA, 2001.
5. J. Han & Y. Fu, 'Discovery of Multiple-Level Association Rules from Large Databases', in 21st International Conference on Very Large Databases, Zurich, Switzerland, 1995, pp. 420-431.
6. J. Han & Y. Fu, 'Mining Multiple-Level Association Rules in Large Databases', IEEE Transactions on Knowledge and Data Engineering, Vol. 11, pp. 798-805, Sep/Oct., 1999.
7. J. Han & J. Pei, 'Mining Frequent Patterns by Pattern-Growth: Methodology and Implications', ACM SIGKDD Explorations Newsletter, Vol. 2, pp. 14-20, Dec., 2000.
8. T.-P. Hong, K.-Y. Lin & B.-C. Chien, 'Mining Fuzzy Multiple-Level Association Rules from Quantitative Data', Applied Intelligence, Vol. 18, pp. 79-90, Jan., 2003.
9. nd International IEEE Conference on Intelligent Systems, 2004, pp. 225-230.
10. B. Liu, M. Hu & W. Hsu, 'Pruning and Summarizing the Discovered Associations', in 5th International Conference on Knowledge Discovery and Data Mining (KDD'99), San Diego, CA, 1999, pp. 125-134.
11. B. Liu, M. Hu & W. Hsu, 'Multi-Level Organization and Summarization of the Discovered Rules', in Conference on Knowledge Discovery in Data, Boston, Massachusetts, USA: ACM Press, 2000.
12. K.-L. Ong, W.-K. Ng & E.-P. Lim, 'Mining Multi-Level Rules with Recurrent Items Using FP'Tree', in 3rd International Conference on Information, Communications and Signal Processing, Singapore, 2001.
13. N. Pasquier, Y. Bastide, R. Taouil & L. Lakhal, 'Efficient mining of association rules using closed itemset lattices', Information Systems, Vol. 24, Issue 1, pp. 25-46, 1999.
14. N. Pasquier, R. Taouil, Y. Bastide, G. Stumme & L. Lakhal, 'Generating a Condensed Representation for Association Rules', Journal of Intelligent Information Systems, Vol. 24, pp. 29-60, 2005.
15. th International Conference on Data Mining (DMIN'08), 2008, Las Vegas, USA, To appear.
16. Y. G. Sucahyo & R. P. Gopalan, 'CT-ITL: Efficient Frequent Item Set Mining using a Compressed Prefix Tree with Pattern Growth', in 14th Australasian Database Conference, Adelaide, Australia, 2003.
17. R. S. Thakur, R. C. Jain & K. P. Pardasani, 'Mining Level-Crossing Association Rules from Large Databases', Journal of Computer Science, Vol. 12, pp. 76-81, 2006.
18. Y. Xu & Y. Li, 'Mining Non-Redundant Association Rules Based on Concise Bases', International Journal of Pattern Recognition and Artificial Intelligence, Vol. 21, pp. 659-675, Jun., 2007.
19. Y. Xu, & Y. Li, 'Generating Concise Association Rules', in 16th ACM Conference on Conference on Information and Knowledge Management (CIKM'07), Lisbon, Portugal, 2007, pp. 781-790.
20. Y. Xu, Y. Li & G. Shaw, 'Concise Representations for Approximate Association Rules', in Proceedings of the 2008 IEEE International Conference on Systems, Man & Cybernetics (SMC'08), 2008, Singapore, To appear.
21. M. J. Zaki, 'Generating Non-Redundant Association Rules', in Proceedings of the KDD Conference, 2000, pp. 34-43.
22. M. J. Zaki, 'Mining Non-Redundant Association Rules', Data Mining and Knowledge Discovery, Vol. 9, pp. 223-248, 2004.
23. th International World Wide Web Conference (WWW'05), 2005, pp. 22-32, Chiba, Japan.