Deriving non-redundant approximate association rules from hierarchical datasets

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2008, Pages 1451-1452

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

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Multi level datasets; Redundant association rules

Indexed keywords

ASSOCIATION RULE MINING; DATA SETS; INFORMATION DISCOVERY; MULTI-LEVEL; MULTI-LEVEL DATASETS; NON-REDUNDANT RULES; REDUNDANT ASSOCIATION RULES; SINGLE LEVEL;

ASSOCIATION RULES; KNOWLEDGE MANAGEMENT; TAXONOMIES;

ASSOCIATIVE PROCESSING;

EID: 70349246935     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458082.1458328     Document Type: Conference Paper

References (11)

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. 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.
3. 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.
4. M. Kaya & R. Alhajj, 'Mining multi-cross-level fuzzy weighted association rules', in 2nd International IEEE Conference on Intelligent Systems, 2004, pp 225-230.
5. 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.
6. 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.
7. G. Shaw, Y. Xu & S. Geva, 'Eliminating Redundant Association Rules in Multi-level Datasets', in Proceedings of the 4th International Conference on Data Mining (DMIN'08), 2008, Las Vegas, USA, To appear.
8. 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.
9. 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.
10. 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.
11. M. J. Zaki, 'Mining Non-Redundant Association Rules', Data Mining and Knowledge Discovery, Vol 9, pp 223-248, 2004.