Efficient Mining of Positive and Negative Association Rules with Weighted FP - Growth

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Provided by: International Journal of Engineering Research and Development (IJERD)
Topic: Data Management
Format: PDF
In recent years, data mining has become one of the most popular techniques for data owners to determine their strategies. Association rule mining is a data mining approach that is used widely in traditional databases and usually to find the positive association rules. However, there are some other challenging rule mining topics like negative association rule mining. Assumptions made by classical association rule mining model that all items have same significance without assigning their weight within a transaction or record. But, importance for the items and transactions is given by calculating weight on various items have been represented by the proposed method.
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