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...
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...
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...
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...
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...