Anytime Frequent Itemset Mining of Transactional Data Streams
Author:
Publisher
Elsevier BV
Subject
Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems
Reference34 articles.
1. Approximate frequency counts over data streams;Manku,2002
2. Mining frequent patterns in data streams at multiple time granularities;Giannella,2003
3. Sliding window-based frequent pattern mining over data streams;Tanbeer;Inf. Sci.,2009
4. DSM-FI: an efficient algorithm for mining frequent itemsets in data streams;Li;Knowl. Inf. Syst.,2008
5. Mining frequent patterns in a varying-size sliding window of online transactional data streams;Chen;Inf. Sci.,2012
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