GC-Tree: A Fast Online Algorithm for Mining Frequent Closed Itemsets-Reference-Cited by-同舟云学术

GC-Tree: A Fast Online Algorithm for Mining Frequent Closed Itemsets

Published: Issue: Volume: Page:457-468
ISSN:
Container-title:Emerging Technologies in Knowledge Discovery and Data Mining
language:
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Author:

Chen Junbo,Li ShanPing

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-77018-3_45.pdf

Reference14 articles.

1. Ben Yahia, S., Hamrouni, T., Mephu Nguifo, E.: Frequent closed itemset based algorithms: a thorough structural and analytical survey. ACM SIGKDD Explorations Newsletter 8(1), 93–104 (2006)

2. Lin, C.-H., Chiu, D.-Y., Wu, Y.-H., Chen, A.L.P.: Mining Frequent Itemsets from Data Streams with a Time-Sensitive Sliding Window. In: Proc. of SDM Conf. (2005)

3. Jiang, N., Gruenwald, L.: CFI-Stream: mining closed frequent itemsets in data streams. In: Proc. of KDD Conf., pp. 592–597 (2006)

4. Lucchese, C., Orlando, S., Perego, R.: DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets. In: Proc. of FIMI Conf., (2004)

5. Lucchese, C., Orlando, S., Perego, R.: Fast and Memory Efficient Mining of Frequent Closed Itemsets. IEEE Journal Transactions of Knowledge and Data Engineering (TKDE) 18(1), 21–36 (2006)

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