—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
This paper presents the effectiveness of an interactive support facility to tune processor allocation of data-driven realtime programs on CUE (Coordinating Users’ requirements an...