An Efficient Algorithm to Automated Discovery of Interesting Positive and Negative Association Rules

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Provided by: The Science and Information (SAI) Organization
Topic: Data Management
Format: PDF
Association rule mining is very efficient technique for finding strong relation between correlated data. The correlation of data gives meaning full extraction process. For the discovering frequent items and the mining of positive rules, a variety of algorithms are used such as Apriori algorithm and tree-based algorithm. But these algorithms do not consider negation occurrence of the attribute in them and also these rules are not in infrequent form. The discovery of infrequent item sets is far more difficult than their counterparts that are frequent item sets.
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