FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Data discrimination 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. The target and contrasting classes can be specified by a user, and the corresponding data objects can be retrieved through database queries.

Detailed explanation-2: -Data discrimination − It is a comparison of the general characteristics of target class data objects with the general characteristics of objects from one or a set of contrasting classes.

Detailed explanation-3: -Data Characterization − This refers to summarizing data of class under study. This class under study is called as Target Class. Data Discrimination − It refers to the mapping or classification of a class with some predefined group or class.

Detailed explanation-4: -Classification is the process of finding a model (or function) that describes and distinguishes data classes or concepts. The model are derived based on the analysis of a set of training data (i.e., data objects for which the class labels are known).

Detailed explanation-5: -Class discrimination or comparison mines characterization that categorize a target class from its contrasting classes. The target and contrasting classes should be comparable providing they share same dimensions and attributes. For instance, the three classes, person, address, and elements, are not comparable.