Sciweavers

6087 search results - page 86 / 1218
» Knowledge discovery methods
Sort
View
ISI
2004
Springer
15 years 3 months ago
The Architecture of the Cornell Knowledge Broker
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 ...
Alan J. Demers, Johannes Gehrke, Mirek Riedewald
ICTAI
2009
IEEE
15 years 4 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
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...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
CG
2007
Springer
14 years 10 months ago
A 2D-3D visualization support for human-centered rule mining
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...
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 2 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
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...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
COLING
1994
14 years 11 months ago
N-Gram Cluster Identification During Empirical Knowledge Representation Generation
: This paper presents an overview of current research concerning knowledge extraction from technical texts. In particular, the use of empirical techniques during the identification...
Robin Collier