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KDD
2000
ACM
142views Data Mining» more  KDD 2000»
14 years 1 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
IDA
2010
Springer
14 years 11 days ago
Data Mining for Modeling Chiller Systems in Data Centers
We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lac...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
MEDINFO
2007
179views Healthcare» more  MEDINFO 2007»
13 years 11 months ago
Temporal Abstraction and Data Mining with Visualization of Laboratory Data
Abstraction and Data Mining with Visualization of Laboratory Data Katsuhiko Takabayashi a , Tu Bao Ho b , Hideto Yokoi c , Trong Dung Nguyen b , Saori Kawasaki b , Si Quang Le b , ...
Katsuhiko Takabayashi, Tu Bao Ho, Hideto Yokoi, Tr...
MIE
2008
171views Healthcare» more  MIE 2008»
13 years 11 months ago
DebugIT for Patient Safety - Improving the Treatment with Antibiotics through Multimedia Data Mining of Heterogeneous Clinical D
The concepts and architecture underlying a large-scale integrating project funded within the 7th EU Framework Programme (FP7) are discussed. The main objective of the project is to...
Christian Lovis, Dirk Colaert, Veli N. Stroetmann
ESWA
2006
161views more  ESWA 2006»
13 years 10 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman