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CIKM
2009
Springer
14 years 1 months 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
ISSTA
2006
ACM
14 years 3 months ago
The case for analysis preserving language transformation
Static analysis has gained much attention over the past few years in applications such as bug finding and program verification. As software becomes more complex and componentize...
Xiaolan Zhang, Larry Koved, Marco Pistoia, Sam Web...
DISCEX
2003
IEEE
14 years 2 months ago
Detecting Novel Scans Through Pattern Anomaly Detection
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
Alfonso Valdes
LISA
1994
13 years 10 months ago
The Group Administration Shell and the GASH Network Computing Environment
Managing large scale UNIX networks so that users can use resources on multiple systems is traditionally performed using NIS, NFS, and DNS. Proper use of these tools requires exact...
Jonathan Abbey
WWW
2006
ACM
14 years 9 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu