Despite the significant body of results in real-time scheduling, many real world problems are not easily supported. While algorithms such as Earliest Deadline First, Rate Monotoni...
Chenyang Lu, John A. Stankovic, Gang Tao, Sang Hyu...
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
An increasing demand for new language resources of recent EU members and accessing countries has in turn initiated the development of different language tools and resources, such ...
Sanja Seljan, Marko Tadic, Zeljko Agic, Jan Snajde...
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Abstract This paper reports our evaluation of the accuracy of capturing a user’s intent in an informationseeking task. Specifically, we would like to assess how accurately a use...