Abstract. This paper is concerned with the question of quantifying gradient degrees of acceptability by introducing the notion of Density in the context of constructional constrain...
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
Abstract. The adoption of mobile technologies into companies frequently follows a technology -driven approach without precise knowledge about the potential benefits that may be rea...
Abstract. XML is rapidly emerging as a dominant standard for representing and exchanging information. The ability to transform and present data in XML is crucial and XSLT is a rela...
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...