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» Using Rough Sets as Tools for Knowledge Discovery
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KDD
2002
ACM
146views Data Mining» more  KDD 2002»
15 years 10 months ago
Closed Set Mining of Biological Data
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
John L. Pfaltz, Christopher M. Taylor
KER
2007
90views more  KER 2007»
14 years 10 months ago
PLTOOL: A knowledge engineering tool for planning and learning
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
Susana Fernández, Daniel Borrajo, Raquel Fu...
ACL
2000
14 years 11 months ago
Extracting Causal Knowledge from a Medical Database Using Graphical Patterns
This paper reports the first part of a project that aims to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from textual databases. In...
Christopher S. G. Khoo, Syin Chan, Yun Niu
CSSW
2007
14 years 11 months ago
Discovering Unknown Connections - the DBpedia Relationship Finder
: The Relationship Finder is a tool for exploring connections between objects in a Semantic Web knowledge base. It offers a new way to get insights about elements in an ontology, i...
Jens Lehmann, Jörg Schüppel, Sören ...
CLA
2004
14 years 11 months ago
Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool
Traditional framework for mining association rules has pointed out the derivation of many redundant rules. In order to be reliable in a decision making process, such discovered rul...
I. Nsir, Sadok Ben Yahia, Engelbert Mephu Nguifo