Mining Maximal Frequent Item Sets

Data mining or Knowledge Discovery in Databases (KDD) is a collection of exploration techniques based on advanced analytical methods and tools for handling a large amount of information. Mining association rule is a main content of data mining research at present, and emphasizes particularly is finding the relation of different items in the database. How to generate frequent item sets is the key and core. It is an important aspect in improving mining algorithm that how to decrease item set candidates in order to generate frequent item set effectively.

Provided by: International Journal of Computer Applications Topic: Data Management Date Added: Nov 2010 Format: PDF

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