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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»
16 years 6 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»
15 years 5 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
15 years 7 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
15 years 7 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
15 years 7 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