Using Augmented Bayesian Networks to Compare Preference of Performance

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Big Data
Format: PDF
The data mining technique is applied in various fields as a method to extract information based on massive data, and Bayesian networks are also utilized as useful modeling technique. Accordingly, many algorithms in Bayesian networks such as K2, TAN in expansion have been proposed and suitability of algorithm for each situation evaluation stage has been requested based on performance test result validation to selectively use optimum algorithm for certain situation. As massive various that affects the result exists in actual situation, acquired information through certain data mining technique is considerably limited.

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