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» Data Mining for Modeling Chiller Systems in Data Centers
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
14 years 5 days ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 15 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
WSC
2007
13 years 10 months ago
Simulation framework for complex manufacturing systems with automated material handling
In this paper, we suggest a framework that allows for the simulation-based performance assessment of complex manufacturing systems with Automated Material Handling Systems (AMHS)....
Rene Driessel, Lars Mönch
DMIN
2006
132views Data Mining» more  DMIN 2006»
13 years 9 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007