Mining Closed Itemsets in Data Stream Using Formal Concept Analysis

Author:

Gupta Anamika,Bhatnagar Vasudha,Kumar Naveen

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Agarwal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: 20th International Conference on Very Large Databases, pp. 487–499 (1994)

2. Chang, J., Lee, W.: Finding Recent Frequent Itemsets Adaptively over Online Data stream. In: 9th ACM SIGKDD, pp. 487–492. ACM Press, New York (2003)

3. Cheng, J., Ke, Y., Ng, W.: A Survey on Algorithms for Mining Frequent Itemsets over Data stream. KAIS Journal 16(1), 1–27 (2008)

4. Chen, J., Li, S.: GC-Tree: A Fast Online Algorithm for Mining Frequent Closed Itemsets. In: Proceeding of PAKDD Workshop of HPDMA, pp. 457–468 (2007)

5. Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Heidelberg (1999)

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