Manual knowledge acquisition is usually a costly and timeconsuming process. Automatic knowledge acquisition methods can then significantly support the knowledge engineer. In this ...
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
We present a new method for discovering a segmental discourse structure of a document while categorizing each segment's function and importance. Segments are determined by a ...
This paper presents a simple and adaptable matching method dealing with web directories, catalogs and OWL ontologies. By using a well-known Knowledge Discovery in Databases model,...
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...