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CBMS
2006
IEEE
14 years 2 months ago
An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, ...
Hyoil Han, Han C. Ryoo, Herbert Patrick
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 3 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
14 years 1 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
14 years 3 months ago
Evaluation Measures for Multi-class Subgroup Discovery
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. It has previously predominantly been...
Tarek Abudawood, Peter Flach
PKDD
2009
Springer
137views Data Mining» more  PKDD 2009»
14 years 3 months ago
On Subgroup Discovery in Numerical Domains
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
Henrik Grosskreutz, Stefan Rüping