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Data MiningExplain Naive Bayesian classification algorithm.20207mData MiningDefine Classification and Prediction in data mining. Describe the concept of Bayesian Classification with a simple example.20257mData MiningCase-based learning is (i) a class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory (ii) any mechanism employed by a learning system to constrain the search space of a hypothesis (iii) an approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation (iv) None of the above20202mData MiningWhy is naive Bayesian classification called 'naive'? Briefly outline the major ideas of naive Bayesian classification.20227m
Previous_______ is a comparison of the general features of the target class data objects against the general features of objects from one or multiple contrasting classes. (i) Data characterization (ii) Data classification (iii) Data discrimination (iv) Data selectionNextThe output of KDD is (i) data (ii) information (iii) query (iv) useful information