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CIKM
2009
Springer
14 years 19 days ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
DIALM
2007
ACM
178views Algorithms» more  DIALM 2007»
14 years 19 days ago
Near-Optimal Compression of Probabilistic Counting Sketches for Networking Applications
Sketches--data structures for probabilistic, duplicate insensitive counting--are central building blocks of a number of recently proposed network protocols, for example in the con...
Björn Scheuermann, Martin Mauve
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 18 days ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
14 years 18 days ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
SOUPS
2010
ACM
14 years 17 days ago
Usably secure, low-cost authentication for mobile banking
This paper explores user authentication schemes for banking systems implemented over mobile phone networks in the developing world. We analyze an authentication scheme currently d...
Saurabh Panjwani, Edward Cutrell
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