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PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
13 years 9 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...
ICCS
1997
Springer
13 years 8 months ago
Uncovering the Conceptual Models in Ripple Down Rules
: The need for analysis and modeling of knowledge has been espoused by many researchers as a prerequisite to building knowledge based systems (KBS). This approach has done little t...
Debbie Richards, Paul Compton
IJCAI
1997
13 years 6 months ago
Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems
This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is...
G. M. Shiraz, Claude Sammut
DIS
2004
Springer
13 years 10 months ago
On the Convergence of Incremental Knowledge Base Construction.
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
Tri M. Cao, Eric Martin, Paul Compton
AUSAI
2003
Springer
13 years 8 months ago
A New Approach for Scientific Citation Classification Using Cue Phrases
This paper introduces a new method for the rapid development of complex rule bases involving cue phrases for the purpose of classifying text segments. The method is based on Ripple...
Son Bao Pham, Achim G. Hoffmann