Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Discovering the dependencies among the variables of a domain from examples is an important problem in optimization. Many methods have been proposed for this purpose, but few large...
: Semantic wikis have been regarded as an important collaboration tool among a number of experts from multiple domains. This wiki platform can play a role of collaborative knowledg...
Dosam Hwang, Ngoc Thanh Nguyen, Jason J. Jung, Abo...
The discovery and extraction of general lists on the Web continues to be an important problem facing the Web mining community. There have been numerous studies that claim to autom...
Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei ...
Specification and verification of real-time systems are important research topics which have practical implications. In this work, we present a self-contained toolkit to analyze r...