Web content mining opens up the possibility to use data presented in web pages for the discovery of interesting and useful patterns. Our web mining tool, FBL (Filtered Bayesian Le...
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Abstract. A new trend in runtime system monitoring is to utilize MOFbased techniques in analyzing the runtime system data. Approaches and tools have been proposed to automatically ...
Hui Song, Gang Huang, Yingfei Xiong, Franck Chauve...
We describe a methodology that enables the real-time diagnosis of performance problems in complex high-performance distributed systems. The methodology includes tools for generati...
Brian Tierney, William E. Johnston, Brian Crowley,...