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WSC
2007
13 years 10 months ago
Real-time prediction in a stochastic domain via similarity-based data-mining
This paper introduces an application and a methodology to predict future states of a process under real-time requirements. The real-time functionality is achieved by creating a Ba...
Timo Steffens, Philipp Hügelmeyer
DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 2 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
CLUSTER
2003
IEEE
14 years 1 months ago
Improving Performance of a Dynamic Load Balancing System by Using Number of Effective Tasks
Efficient resource usage is a key to achieving better performance in cluster systems. Previously, most research in this area has focused on balancing the load of each node to use...
Min Choi, Jung-Lok Yu, Hojoong Kim, Seung Ryoul Ma...
ILP
2003
Springer
14 years 1 months ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
ICDCS
2005
IEEE
14 years 1 months ago
ReDAL: Request Distribution for the Application Layer
Modern application infrastructures are based on clustered, multi-tiered architectures, where request distribution occurs in two sequential stages: over a cluster of web servers, a...
Debra E. VanderMeer, Helen M. Thomas, Kaushik Dutt...