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» Troubleshooting Distributed Systems via Data Mining
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ICDCN
2011
Springer
13 years 6 days ago
Mining Frequent Subgraphs to Extract Communication Patterns in Data-Centres
In this paper, we propose to use graph-mining techniques to understand the communication pattern within a data-centre. We model the communication observed within a data-centre as a...
Maitreya Natu, Vaishali P. Sadaphal, Sangameshwar ...
OSDI
2008
ACM
13 years 11 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
IC
2004
13 years 10 months ago
An Internet-Wide Distributed System for Data-Stream Processing
The ubiquity of the Internet has stimulated the development of data- rather than processor-intensive applications. Such data-intensive applications include streaming media, intera...
Gabriel Parmer, Richard West, Xin Qi, Gerald Fry, ...
JIIS
1998
161views more  JIIS 1998»
13 years 8 months ago
Mining Text Using Keyword Distributions
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Ido Dagan, Haym Hirsh
EAAI
2007
99views more  EAAI 2007»
13 years 8 months ago
Data mining for agent reasoning: A synergy for training intelligent agents
The task-oriented nature of data mining (DM) has already been dealt successfully with the employment of intelligent agent systems that distribute tasks, collaborate and synchroniz...
Andreas L. Symeonidis, Kyriakos C. Chatzidimitriou...