Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
This paper describes two results of the European ESPRIT project no. 22828 ,,CSCCM", which aims at optimising the bidding process of small and medium companies in the construc...
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
: Nowadays, a central topic in database science is the need of an integrated access to large amounts of data provided by various information sources whose contents are strictly rel...