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APCHI
2004
IEEE
15 years 10 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»
15 years 9 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
EUSFLAT
2007
105views Fuzzy Logic» more  EUSFLAT 2007»
15 years 7 months ago
SPoID: Do Not Throw Meaningful Incomplete Sequences Away!
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
Céline Fiot, Anne Laurent, Maguelonne Teiss...
SDM
2007
SIAM
108views Data Mining» more  SDM 2007»
15 years 7 months ago
Semi-Supervised Dimensionality Reduction
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 4 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li