Mining Multilevel Association Rules for Data Streams with Time Horizon by Artificial Bee Colony Based Optimization for Fuzzy Logic

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Data mining becomes one of the most important frequently used methods in earlier days to mine frequent itemset for data stream applications. Extraction of multilevel fuzzy association rules for frequent itemset in the downstream data becomes a more difficult task, in order to overcome this problem in this presents a novel multilevel fuzzy association frequent itemset mining for downstream applications. In the proposed multilevel fuzzy association frequent itemset mining methods the frequent itemsets are mined inside time horizon and non-frequent itemsets are mined.
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