Prediction of Missing Associations Using Rough Computing and Bayesian Classification

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Provided by: mecs-press
Topic: Data Management
Format: PDF
Information technology revolution has brought a radical change in the way data are collected or generated for ease of decision making. It is generally observed that the data has not been consistently collected. The huge amount of data has no relevance unless it provides certain useful information. Only by unlocking the hidden data the users can not use it to gain insight into customers, markets, and even to setup a new business. Therefore, the absence of associations in the attribute values may have information to predict the decision for their own business or to setup a new business.
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