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KDD
2000
ACM
147views Data Mining» more  KDD 2000»
14 years 17 days ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 2 months ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
SSDBM
2006
IEEE
156views Database» more  SSDBM 2006»
14 years 3 months ago
On Data and Visualization Models for Signaling Pathways
Signaling pathways are chains of interacting proteins, through which the cell converts a (usually) extracellular signal into a biological response. The number of known signaling p...
Nattakarn Ratprasartporn, Ali Cakmak, Gultekin &Ou...
IDEAL
2009
Springer
14 years 3 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 9 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan