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» Troubleshooting Distributed Systems via Data Mining
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HPDC
2008
IEEE
14 years 2 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
ADHOC
2007
169views more  ADHOC 2007»
13 years 7 months ago
Ensuring strong data guarantees in highly mobile ad hoc networks via quorum systems
Ensuring the consistency and the availability of replicated data in highly mobile ad hoc networks is a challenging task because of the lack of a backbone infrastructure. Previous ...
Daniela Tulone
SDM
2008
SIAM
122views Data Mining» more  SDM 2008»
13 years 9 months ago
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu
CIDR
2009
139views Algorithms» more  CIDR 2009»
13 years 8 months ago
Inter-Operator Feedback in Data Stream Management Systems via Punctuation
High-volume, high-speed data streams may overwhelm the capabilities of stream processing systems; techniques such as data prioritization, avoidance of unnecessary processing and o...
Rafael Fernández-Moctezuma, Kristin Tufte, ...
DATAMINE
1999
140views more  DATAMINE 1999»
13 years 7 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...