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» Detecting Inconsistencies in Distributed Data
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ICPR
2010
IEEE
14 years 5 days ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...
JSAC
2007
119views more  JSAC 2007»
13 years 8 months ago
Cooperative routing for distributed detection in large sensor networks
— In this paper, the detection of a correlated Gaussian field using a large multi-hop sensor network is investigated. A cooperative routing strategy is proposed by introducing a...
Youngchul Sung, Saswat Misra, Lang Tong, Anthony E...
PPOPP
2003
ACM
14 years 2 months ago
Hybrid dynamic data race detection
We present a new method for dynamically detecting potential data races in multithreaded programs. Our method improves on the state of the art in accuracy, in usability, and in ove...
Robert O'Callahan, Jong-Deok Choi
EACL
2003
ACL Anthology
13 years 10 months ago
Detecting Novel Compounds: The Role of Distributional Evidence
Research on the discovery of terms from corpora has focused on word sequences whose recurrent occurrence in a corpus is indicative of their terminological status, and has not addr...
Mirella Lapata, Alex Lascarides
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 3 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li