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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 1 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
ISI
2007
Springer
16 years 29 days ago
DOTS: Detection of Off-Topic Search via Result Clustering
— Often document dissemination is limited to a “need to know” basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user...
Nazli Goharian, Alana Platt
ICPADS
2006
IEEE
16 years 26 days ago
Memory and Network Bandwidth Aware Scheduling of Multiprogrammed Workloads on Clusters of SMPs
Symmetric Multiprocessors (SMPs), combined with modern interconnection technologies are commonly used to build cost-effective compute clusters. However, contention among processor...
Evangelos Koukis, Nectarios Koziris
PDP
2005
IEEE
16 years 12 days ago
Memory Bandwidth Aware Scheduling for SMP Cluster Nodes
Clusters of SMPs are becoming increasingly common. However, the shared memory design of SMPs and the consequential contention between system processors for access to main memory c...
Evangelos Koukis, Nectarios Koziris
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
16 years 3 days ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter