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FGCS
2007
160views more  FGCS 2007»
13 years 7 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
EUROSYS
2007
ACM
14 years 4 months ago
Adaptive control of virtualized resources in utility computing environments
Data centers are often under-utilized due to over-provisioning as well as time-varying resource demands of typical enterprise applications. One approach to increase resource utili...
Pradeep Padala, Kang G. Shin, Xiaoyun Zhu, Mustafa...
ICSE
2008
IEEE-ACM
14 years 8 months ago
Testing pervasive software in the presence of context inconsistency resolution services
Pervasive computing software adapts its behavior according to the changing contexts. Nevertheless, contexts are often noisy. Context inconsistency resolution provides a cleaner pe...
Heng Lu, W. K. Chan, T. H. Tse
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
14 years 8 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...