A Comprehensive Study of Major Techniques of Multi Level Frequent Pattern Mining: a Survey
نویسندگان
چکیده
Frequent pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns. There are techniques such as Apriority and FP-Growth, which were typically restricted to a single concept level. We extend our research to study Multi level frequent patterns in multi-level environments. Mining Multi-level frequent pattern may lead to the discovery of mining patterns at different levels of hierarchy. In this study, we describe the main techniques used to solve these problems and give a comprehensive survey of the most influential algorithms That were proposed during the last decade.
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Data mining is the collection of techniques for the resourceful, automatic discovery of previously unknown, suitable, novel, helpful and understandable patterns in large databases. Frequent pattern mining has emerged as a vital task in data mining. Frequent patterns are those that occur frequently in a data set. In traditional frequent pattern mining, patterns and items within the patterns are ...
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