See5-C5 2.01

Data mining is all about extracting patterns from an organization's stored or warehoused data. These patterns can be used to gain insight into aspects of the organization's operations, and to predict outcomes for future situations as an aid to decision-making.

Patterns often concern the categories to which situations belong. For example, is a loan applicant creditworthy or not? Will a certain segment of the population ignore a mailout or respond to it? Will a process give high, medium, or low yield on a batch of raw material?

Some important features of See5:

See5/C5.0 has been designed to analyse substantial databases containing thousands to hundreds of thousands of records and tens to hundreds of numeric or nominal fields.
To maximize interpretability, See5/C5.0 classifiers are expressed as decision trees or sets of if-then rules, forms that are generally easier to understand than neural networks.
See5/C5.0 is easy to use and does not presume advanced knowledge of Statistics or Machine Learning (although these don't hurt, either!)
RuleQuest provides C source code so that classifiers constructed by See5/C5.0 can be embedded in your organization's own systems.