Frequent Pattern Mining from Time-Fading Streams of Uncertain Data-Reference-Cited by-同舟云学术

Frequent Pattern Mining from Time-Fading Streams of Uncertain Data

Published:2011 Issue: Volume: Page:252-264
ISSN:0302-9743
Container-title:Data Warehousing and Knowledge Discovery
language:
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Author:

Leung Carson Kai-Sang,Jiang Fan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-23544-3_19

Reference20 articles.

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3. Calders, T., Garboni, C., Goethals, B.: Efficient pattern mining of uncertain data with sampling. In: Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010, Part I. LNCS (LNAI), vol. 6118, pp. 480–487. Springer, Heidelberg (2010)

4. Cao, F., Ester, M., Qian, W., Zhou, A.: Density-based clustering over an evolving data stream with noise. In: SDM, pp. 328–339. SIAM, Philadelphia (2006)

5. Castellanos, M., Gupta, C., Wang, S., Dayal, U.: Leveraging web streams for contractual situational awareness in operational BI. In: EDBT/ICDT Workshops, article 7. ACM, New York (2010)

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