Hierarchical Level Based Frequent Pattern Mining
نویسندگان
چکیده
منابع مشابه
Multi-level Frequent Pattern Mining
Frequent pattern mining (FPM) has become one of the most popular data mining approaches for the analysis of purchasing patterns. Methods such as Apriori and FP-growth have been shown to work efficiently in this setting. However, these techniques are typically restricted to a single concept level. Since typical business databases support hierarchies that represent the relationships amongst many ...
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Frequent pattern mining is a process of extracting frequently occurring itemset patterns from very large data storages. These frequent patterns are used to generate association rules which define the relationship among items. The strength of the relationship can be measured using two different units namely support value and confidence level. Any relationship that satisfies minimum threshold of ...
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ژورنال
عنوان ژورنال: International Journal of Grid and Distributed Computing
سال: 2018
ISSN: 2005-4262,2005-4262
DOI: 10.14257/ijgdc.2018.11.9.01