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» Knowledge Discovery from a Case Base
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WWW
2004
ACM
14 years 8 months ago
Graph-based text database for knowledge discovery
While we expect to discover knowledge in the texts available on the Web, such discovery usually requires many complex analysis steps, most of which require different text handling...
Junji Tomita, Hidekazu Nakawatase, Megumi Ishii
DEXAW
2005
IEEE
135views Database» more  DEXAW 2005»
14 years 1 months ago
Expert-Based Ontology Construction: A Case-Study in Horticulture
Abstract— Experts are capable of performing complex tasks in their specific field of expertise. To do this, they use a vast amount of explicit and tacit domain knowledge. For v...
Nicole J. J. P. Koenderink, Jan L. Top, Lucas J. v...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
13 years 11 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
FCSC
2010
238views more  FCSC 2010»
13 years 4 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
ARTMED
2006
75views more  ARTMED 2006»
13 years 7 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...