Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
To detect and investigate self-propagating worm attacks against networked servers, the following capabilities are desirable: (1) raising timely alerts to trigger a worm investigat...
Xuxian Jiang, Florian P. Buchholz, Aaron Walters, ...
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
i In this paper, we identify the unique challenges in deploying parallelism on TCAM-based pattern matching for Network Intrusion Detection Systems (NIDSes). We resolve two critica...
Kai Zheng, Xin Zhang, Zhiping Cai, Zhijun Wang, Ba...