Data Mining Applications for Empowering Knowledge Societies by Hakikur Rahman

By Hakikur Rahman

Facts Mining thoughts are progressively changing into crucial parts of company intelligence structures and gradually evolving right into a pervasive know-how inside of actions that diversity from the usage of ancient info to predicting the luck of an wisdom crusade. actually, information mining is changing into an interdisciplinary box pushed by means of numerous multi-dimensional applications.
Data Mining purposes for Empowering wisdom Societies provides an summary at the major problems with info mining, together with its class, regression, clustering, and moral matters. This entire booklet additionally presents readers with wisdom bettering approaches in addition to a large spectrum of knowledge mining functions.

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X64*), the classification score MCQPi Step 1: Generate the Training set and Testing set from the credit card data set. Step 2: Apply the two-group MCQP model to compute the compromise solution X* = (x1*, x2*, . . 0 software. Step 3: The classification score MCQPi = Ai X* against each observation is calculated against the boundary b to check the performance measures of the classification. , the found performance measure is larger or equal to the given threshold), go to the next step. Otherwise, choose different values of control parameters (b, a*, β*) and go to Step 1.

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