An Efficient Hash Based Rule Storage

Abstract:

The rule based is an important method in data mining. The rules are applied to check a quality of data in large companies and business organizations. The association rules are doing such quality check using the rule based classifiers. Data quality efficiency is fully based on speed and excellence of storage and retrieval of rules. Data structures are source for rule storage such as list, queue and tree. Tree structure is an efficient structure for storage and retrieval of data. In the proposed method we use hash based methods to store and retrieve the rules to improve the efficiency. The efficiency of our method will be compared with an existing method in both theoretical and experimental results using various realworld data sets.

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