Author:
Ahmed Chowdhury Farhan,Tanbeer Syed Khairuzzaman,Jeong Byeong-Soo,Lee Young-Koo
Publisher
Springer Berlin Heidelberg
Reference8 articles.
1. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: 20th Int. Conf. on Very Large Data Bases (VLDB), pp. 487–499 (1994)
2. Yao, H., Hamilton, H.J., Butz, C.J.: A Foundational Approach to Mining Itemset Utilities from Databases. In: Third SIAM Int. Conf. on Data Mining, pp. 482–486 (2004)
3. Yao, H., Hamilton, H.J.: Mining itemset utilities from transaction databases. Data & Knowledge Engineering 59, 603–626 (2006)
4. Lecture Notes in Computer Science;Y. Liu,2005
5. Han, J., Pei, J., Yin, Y., Mao, R.: Mining frequent patterns without candidate generation: a frequent-pattern tree approach. Data Mining and Knowledge Discovery 8, 53–87 (2004)
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