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» Distributed Data Mining Models as Services on the Grid
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
INFOCOM
2003
IEEE
15 years 11 months ago
User-Level Performance of Channel-Aware Scheduling Algorithms in Wireless Data Networks
— Channel-aware scheduling strategies, such as the Proportional Fair algorithm for the CDMA 1xEV-DO system, provide an effective mechanism for improving throughput performance in...
Sem C. Borst
IMCS
2007
77views more  IMCS 2007»
15 years 6 months ago
Incident response requirements for distributed security information management systems
Purpose – Security information management systems (SIMs) have been providing a unified distributed platform for the efficient management of security information produced by co...
Sarandis Mitropoulos, Dimitrios Patsos, Christos D...
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 7 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
TON
2008
102views more  TON 2008»
15 years 6 months ago
Internet traffic behavior profiling for network security monitoring
Abstract--Recent spates of cyber-attacks and frequent emergence of applications affecting Internet traffic dynamics have made it imperative to develop effective techniques that can...
Kuai Xu, Zhi-Li Zhang, Supratik Bhattacharyya