WITNESS Miner is a graphical data mining tool comprising a collection of data structures and algorithms written specifically for the tasks required in Knowledge Discovery.

WITNESS Miner has been designed to be easy to use - it provides a visual method of constructing streams, containing data preparation and datamining tasks that form the knowledge discovery process. Key features of the toolkit include decision trees, clustering, discretisation, feature subset selection, rule induction using modern heuristic techniques, the ability to handle missing values throughout and a host of standard data processing tools.

This web site offers selected extracts directly from the help system of WITNESS Miner and is designed to allow you to explore in detail the look and feel and functionality of the product. The tutorial examples show some examples of analysis in action.

Getting Started with WITNESS Miner

Introduction to the tutorial examples

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