COBWEB was invented by Professor Douglas H. Fisher, currently at Vanderbilt University.
Each node in a classification tree represents a class (concept) and is labeled by a probabilistic concept that summarizes the attribute-value distributions of objects classified under the node.
This classification tree can be used to predict missing attributes or the class of a new object.
[3] There are four basic operations COBWEB employs in building the classification tree.
Which operation is selected depends on the category utility of the classification achieved by applying it.