GIAMS: A generic approach for mining indirect association rules in data streams1

Author:

Lin Wen-Yang1,Wei You-En1,Chen Chun-Hao2

Affiliation:

1. Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan

2. Department of Computer Science and Information Engineering, Tamkang University, Taiwan

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference47 articles.

1. Data Streams

2. Models and Issues in Data Stream Systems;Babcock;Proc. 21st ACM Symp. Principles of Database Systems,2002

3. Frequent Term-based Text Clustering;Beil;Proc. 8th ACM Int. Conf. Knowledge Discovery and Data Mining,2002

4. Visualization of Navigation Patterns on a Web Site Using Model-based Clustering;Cadez;Proc. 6th ACM Int. Conf. Knowledge Discovery and Data Mining,2000

5. Finding Recent Frequent Itemsets Adaptively over Online Data Streams;Chang;Proc. 9th ACM Int. Conf. Knowledge Discovery and Data Mining,2003

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