This paper is devoted to the problem of learning to predict ordinal (i.e., ordered discrete) classes using classification and regression trees. We start with S-CART, a tree inducti...
Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer...
A top-down query processing method for first order deductive databases under the disjunctive well-founded semantics (DWFS) is presented. The method is based upon a characterisation...
Indexing file systems is a powerful means of helping users locate documents, software, and other types of data among large repositories. In environments that contain many differen...
A good deal of progress has been made in the past few years in the design and implementation of control programs for autonomous agents. A natural extension of this work is to consi...
It has already been noted that the accurate prediction of societal responses requires the use of a formal model based on some social or cultural taxonomy. One such taxonomic candi...
Adnan Yazici, Frederick E. Petry, Curt Pendergraft
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of tradition...
In this paper we study how the framework of Petri nets can be extended and applied to study recurrent events. We use possibility theory to realistically model temporal properties o...