1Former PVC, Kurukshetra University
2Honorary Professor, Mathematics, GJ University of Sc. & T, Hisar
3Adviser(R), ABV Hindi University, Bhopal (M.P.) E-mail: ds_hooda@rediffmail.com
Online published on 1 August, 2017.
In the present communication data mining process is defined and illustrated with examples. Data mining techniques, namely, associate rule mining, classification and prediction, and clustering are discussed in details. A new concept of a measure of homogeneity of set of examples called entropy is introduced in order to define information gain. In the end application of techniques is discussed in brief.
