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TJS
2010
182views more  TJS 2010»
14 years 10 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
PLDI
2011
ACM
14 years 2 months ago
Automated atomicity-violation fixing
Fixing software bugs has always been an important and timeconsuming process in software development. Fixing concurrency bugs has become especially critical in the multicore era. H...
Guoliang Jin, Linhai Song, Wei Zhang, Shan Lu, Ben...
PLDI
2012
ACM
13 years 2 months ago
Effective parallelization of loops in the presence of I/O operations
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
Min Feng, Rajiv Gupta, Iulian Neamtiu
WWW
2009
ACM
16 years 15 days ago
A class-feature-centroid classifier for text categorization
Automated text categorization is an important technique for many web applications, such as document indexing, document filtering, and cataloging web resources. Many different appr...
Hu Guan, Jingyu Zhou, Minyi Guo
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 6 days ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales