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References

1. IEEE Transactions on Knowledge and Data Engineering v.8 no.6 Data Mining:An Overview from a Database Perspective M.S.Chen;J.Han;P.S.Yu
2. Data Warehousing, Data Mining, and OLAP A.Berson;S.J.Smith
3. Proceedings of ACM SIGMOD Conference on Management of Data, Washington D.C. Mining association rules in large databases R.Agrawal;T.Imielinski;A.Swami
4. Proceedings of the 20th VLDB Conference Fast algorithms for mining association rules R.Agrawal;R.Srikant
5. AAAI Workshop on Knowledge Discovery in Databases Efficient Algorithms for Discovering Association Rules H.Mannila;H.Toivonen;A.I.Verkamo;Usama M. Fayyad(ed.);Ramasamy Uthurusamy(ed.)
6. University of Maryland College Park CS Technical Report, CS-TR-3515 Fast sequential and parallel algorithms for association rulemining:a comparison A.Muller
7. IBM Research Report, RJ 9567(83573) Set-Oriented mining for association rules M.Houtsma;A.Swami
8. Proceedings of ACM SIGMOD Conference on Management of Data An effective hash-based algorithm for mining association rules J.S.Park;M.S.Chen;P.S.Yu
9. Proceedings of the 21th VLDB Conference An efficient algorithm for mining association rules in large databases A.Savasere;E.Omiencinsk;S.Navathe
10. Proceedings of the 22nd VLDB Conference Sampling Large Databases for Association Rules H.Toivonen
11. Proceedings of ACM CIKM 97 Mining Association Rules with Adjustable Accuracy J.S.Park;P.S.Yu;M.S.Chen
12. Proceedings of ACM SIGMOD Conference on Management of Data Dynamic Itemset Counting and Implication Rules for Market Basket Data S.Brin;R.Motwani;J.D.Ullman;S.Tsur
13. Proceedings of the 14th International Conference on Data Engineering Cyclic Association Rules B.Ozden;S.Ramaswamy;A.Silberschatz
14. Proceedings of the 14th International Conference on Data Engineering Mining for Strong Negative Associations in a Large Database of Customer Transactions A.Savasere;E.Omiencinski;S.Navathe
15. Proceedings of ACM SIGMOD Conference on Management of Data Exploratory Mining and Pruning Optimizations of Constrained Association Rules R.T.Ng;L.V.S.Lakshmann;J.Han
16. Proceedings of the 21st VLDB Conference Mining Generalized Association Rules R.Srikant;R.Agrawal
17. Proceedings of the 11th International Conference on Data Engineering Mining sequential patterns R.Agrawal;R.Srikant
18. Proceedings of the Fifth Int'l Conference on Extending Database Technology(EDBT) Mining sequential patterns: Generalizations and Performance Improvements R.Srikant;R.Agrawal
19. Proceedings of the 16th International Conference on Distributed Computing Systems Data Mining for Path Traversal Patterns in a Web Environment M.S.Chen;J.S.Park;P.S.Yu