Cluster Analysis
Unlike classification and prediction, which analyze class-labeled data objects, clustering analyzes data objects without consulting a known class label. In general, the class labels are not present in the training data simply because...
Data Mining Tools
The analytical techniques used in data mining are often well-known mathematical algorithms and techniques. What is new is the application of those techniques to general business problems made possible by the increased availability of data, and inexpensive...
Integration Testing and System Testing
Integration Testing
Integration testing is a systematic technique for constructing the program structure while at the same time conducting tests to uncover errors associated with interfacing. In this, many unit tested modules are combined into subsystems,...
How to Mine the Data
Let us see now what the process of "mining" the data means. Schematically, we can identify three characteristic steps of the data mining process:
Exploring data, consisting of data "cleansing", data transformation, dimensionality reduction, feature...