Knowledge Extraction From Numerical Data: An Abc Based Approach

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Provided by: International Association of Engineering and Management Education (IAEME)
Topic: Big Data
Format: PDF
Fuzzy rule based systems provide a framework for representing & processing information in a way that resembles human communication & reasoning process. Two approaches can be found in the literature which is used for rule based generation; in knowledge driven models the requisite rule base is provide by domain expert & knowledge engineers. In the data driven models the rule base is generated from available numerical data. As the domain experts are difficult to find & knowledge extraction from the experts itself is difficult task the data driven modeling assume significance, one has to apply soft computing base methodology to generate rule base form data.
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