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ICML
2007
IEEE
16 years 7 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
WWW
2006
ACM
16 years 7 months ago
Dynamic placement for clustered web applications
We introduce and evaluate a middleware clustering technology capable of allocating resources to web applications through dynamic application instance placement. We define applicat...
A. Karve, Tracy Kimbrel, Giovanni Pacifici, Mike S...
HPCA
2003
IEEE
16 years 7 months ago
Dynamic Data Replication: An Approach to Providing Fault-Tolerant Shared Memory Clusters
A challenging issue in today's server systems is to transparently deal with failures and application-imposed requirements for continuous operation. In this paper we address t...
Rosalia Christodoulopoulou, Reza Azimi, Angelos Bi...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
16 years 7 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
CCGRID
2008
IEEE
16 years 1 months ago
MPI Collectives on Modern Multicore Clusters: Performance Optimizations and Communication Characteristics
The advances in multicore technology and modern interconnects is rapidly accelerating the number of cores deployed in today’s commodity clusters. A majority of parallel applicat...
Amith R. Mamidala, Rahul Kumar, Debraj De, Dhabale...