Q.1) Data mining methods grew out of which 3 fields?

Q.2) When we partition data into training and validation data sets, why do we partition the data randomly, instead of in some other manner (e.g. taking the first n1 cases for training, and the remainder for validation)?

Q.3) List, in correct order, the essential steps for building a data mining model.

Q.4) Name one Open Source and One proprietary “distributed computing” platform for Big Data?  Explain

Q.5) Give any one other term used for: (a) Input variable (b) Target variable (c) Attribute (d) Row

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Solution 1 The 3 areas in which data mining ... View the full answer