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» Troubleshooting Distributed Systems via Data Mining
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FGCS
2007
86views more  FGCS 2007»
13 years 10 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
14 years 2 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 10 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
CLUSTER
2007
IEEE
14 years 4 months ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
EUROPAR
2004
Springer
14 years 3 months ago
Improving Data Cache Performance via Address Correlation: An Upper Bound Study
Address correlation is a technique that links the addresses that reference the same data values. Using a detailed source-code level analysis, a recent study [1] revealed that diffe...
Peng-fei Chuang, Resit Sendag, David J. Lilja