Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
The massive amount of alarm data generated from intrusion detection systems is cumbersome for network system administrators to analyze. Often, important details are overlooked and...
Kulsoom Abdullah, Christopher P. Lee, Gregory J. C...
Heterogeneous and dirty data is abundant. It is stored under different, often opaque schemata, it represents identical real-world objects multiple times, causing duplicates, and ...
Alexander Bilke, Jens Bleiholder, Christoph Bö...
: Verifying design instead of code can be an effective and practical approach to obtaining verified software. This paper argues that proof scores are an attractive method for ver...
Kokichi Futatsugi, Joseph A. Goguen, Kazuhiro Ogat...
Feedback-directed optimization has become an increasingly important tool in designing and building optimizing compilers. Recently, reuse-distance analysis has shown much promise i...