Intelligence applications have to process massive amounts of data in order to extract relevant information. This includes archived historical data as well as continuously arriving ...
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
On account of the enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery process....
Julien Blanchard, Bruno Pinaud, Pascale Kuntz, Fab...
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
: This paper presents an overview of current research concerning knowledge extraction from technical texts. In particular, the use of empirical techniques during the identification...