Constructing A Novel Spark-based Distributed Maximum Frequent Sequence Pattern Mining for IoT Log-Reference-Cited by-同舟云学术

Constructing A Novel Spark-based Distributed Maximum Frequent Sequence Pattern Mining for IoT Log

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Communication and Network Security - ICCNS 2018
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Author:

Chen Xiong¹,Xiao Ruliang¹,Xin Du¹,Lin Xinhong¹,Lin Li¹

Affiliation:

1. College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China

Publisher

ACM Press

Reference21 articles.

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3. Mabroukeh N R, Ezeife C I. A taxonomy of sequential pattern mining algorithms[J]. Acm Computing Surveys, 2010, 43(1):1--41.

4. Wang J, Han J, Li C. Frequent Closed Sequence Mining without Candidate Maintenance[J]. IEEE Transactions on Knowledge & Data Engineering, 2007, 19(8):1042--1056.

5. Chen D P, Zhang X S. Internet Anomaly Detection with Weighted Fuzzy Matching over Frequent Episode Rules[C]// International Conference on Apperceiving Computing and Intelligence Analysis. IEEE, 2009:299--302.

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