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» Introduction to Data Mining and Knowledge Discovery
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PAKDD
2005
ACM
103views Data Mining» more  PAKDD 2005»
14 years 27 days ago
Subgroup Discovery Techniques and Applications
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
Nada Lavrac
PKDD
2001
Springer
108views Data Mining» more  PKDD 2001»
13 years 12 months ago
Knowledge Discovery in Multi-label Phenotype Data
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
Amanda Clare, Ross D. King
APCHI
2004
IEEE
13 years 11 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
KDD
1995
ACM
99views Data Mining» more  KDD 1995»
13 years 11 months ago
Knowledge Discovery in a Water Quality Database
Weapply rule induction to mine for knowledgein a database which stores data obtained by monitoring the water quality of the rivers in Slovenia. The database contains measurementda...
Saso Dzeroski
SAC
2005
ACM
14 years 29 days ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk