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DATAMINE
2010
133views more  DATAMINE 2010»
15 years 4 months ago
Using background knowledge to rank itemsets
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
Nikolaj Tatti, Michael Mampaey
JODS
2006
206views Data Mining» more  JODS 2006»
15 years 4 months ago
Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
Larry Kerschberg, Hanjo Jeong, Wooju Kim
KDD
1995
ACM
86views Data Mining» more  KDD 1995»
15 years 7 months ago
Knowledge Discovery from Multiple Databases
Knowledge discovery systemsfor databasesareemployedto provide valuable insights into characteristics and relationshipsthat may exist in the data,but are unknown to the user. This ...
James S. Ribeiro, Kenneth A. Kaufman, Larry Kersch...
118
Voted
KDD
1995
ACM
85views Data Mining» more  KDD 1995»
15 years 7 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
110
Voted
FLAIRS
1998
15 years 5 months ago
A Framework for Knowledge Reuse
Knowledge "objects' are proposed as a modelling framework which facilitates the reuse of knowledge. Knowledgeobjects are operators which maybe used to construct the ...
John K. Debenham