Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
Side-channel attacks compare side-channel leakage predictions or estimations with side-channel leakage measurements. The estimations are based on the exact value of a few select s...
Communication misses--those serviced by dirty data in remote caches--are a pressing performance limiter in shared-memory multiprocessors. Recent research has indicated that tempor...