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» Conceptual Knowledge Discovery and Data Analysis
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SAMT
2009
Springer
180views Multimedia» more  SAMT 2009»
15 years 6 months ago
RelFinder: Revealing Relationships in RDF Knowledge Bases
Abstract. The Semantic Web has recently seen a rise of large knowledge bases (such as DBpedia) that are freely accessible via SPARQL endpoints. The structured representation of the...
Philipp Heim, Sebastian Hellmann, Jens Lehmann, St...
KDD
2002
ACM
146views Data Mining» more  KDD 2002»
16 years 5 days 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
ISMIS
1999
Springer
15 years 4 months ago
Applications and Research Problems of Subgroup Mining
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deal...
Willi Klösgen
DMIN
2006
144views Data Mining» more  DMIN 2006»
15 years 1 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
GI
1998
Springer
15 years 4 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller