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ILP
1999
Springer
13 years 10 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan
GRC
2008
IEEE
13 years 6 months ago
Granulation Operators on a Knowledge Base
Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operator...
Yuhua Qian, Jiye Liang, Wei Wei
LWA
2004
13 years 7 months ago
Towards Knowledge-Intensive Subgroup Discovery
Subgroup discovery can be applied for exploration or descriptive induction in order to discover "interesting" subgroups of the general population, given a certain proper...
Martin Atzmüller, Frank Puppe, Hans-Peter Bus...
BMCBI
2006
140views more  BMCBI 2006»
13 years 6 months ago
SNP-PHAGE - High throughput SNP discovery pipeline
Background: Single nucleotide polymorphisms (SNPs) as defined here are single base sequence changes or short insertion/deletions between or within individuals of a given species. ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
KR
2004
Springer
13 years 11 months ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler