A Classification Technique using Associative Classification

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Classification and association rule mining are two basic tasks of data mining. Classification rule mining is used to discover a small set of rules in the database to form an accurate classifier. Association rules mining has been used to reveal all interesting relationships in a potentially large database. An Apriori approach, which was used to generate the association rules from frequent patterns, turn out to generate a huge time-intensive query called as iceberg query. Various researches have been done under the Apriori-like approach to improve performance of the frequent pattern mining tasks but the results were not as much as expected due to many scans on the dataset.

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