Optimization of Decision Rules in Fuzzy Classification

There are various advances in data collection that can intelligently and automatically analyze and mine knowledge from large amounts of data. World Wide Web as a global information system has flooded the users with a tremendous amount of data and information Discovery of knowledge and decision-making directly from such huge volumes of data contents is a real challenge. The Knowledge Discovery in Databases (KDD) is the process of extracting the knowledge from huge data collection. Data mining is a step of KDD in which patterns or models are extracted from data by using some automated techniques. Discovering knowledge in the form of classification rules is one of the most important tasks of data mining.

Provided by: International Journal of Computer Applications Topic: Data Management Date Added: Aug 2012 Format: PDF

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