Exploiting the emerging reality of affordable multi-core architeces through providing programmers with simple abstractions that would enable them to easily turn their sequential p...
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Automated teller machine (ATM) frauds are increasing drastically these days. When analyzing the most common attacks and the reasons for successful frauds, it becomes apparent that...
Alexander De Luca, Katja Hertzschuch, Heinrich Hus...
Botnets have become a severe threat to the cyberspace. However, existing studies are typically conducted in an ad hoc fashion, by demonstrating specific analysis on captured bot ...