Data Mining Overview
Data Mining Process and knowledge Discovery
Data functionalities are used to specify the kind of patterns to be found in data mining. The tasks can be classified into two categories: descriptive and predictive. Descriptive mining tasks characterize the general properties of the data in the database. Predictive mining tasks perform inference on the current data in order to make prediction.
Methodology
Classification is the process of finding a model or function that describes and distinguishes data classes or concepts, the objective is to predict the class of objects whose class label is missing. “How is the derived model presented”? Using Neural networks and decision tree
Classification predicts categorical (discrete, unordered) labels, prediction models continuous – valued functions. That is, it is used to predict missing or unavailable numerical data. Regression analysis is a statistical methodology that is most often used for numerical prediction
Sample 4D Data Cube
Hope you find your data nugget! cheers!