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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
14 years 3 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
14 years 3 months 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
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 2 months 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
JUCS
2008
116views more  JUCS 2008»
13 years 9 months ago
Comparative Aspects between the Cluster and Grid Implementations of BigBatch
: BigBatch is an image processing environment designed to process batches of thousands of monochromatic documents. One of the flexibilities and pioneer aspects of BigBatch is offer...
Giorgia de Oliveira Mattos, Andrei de Araúj...
AINA
2007
IEEE
14 years 3 months ago
DHTs over Peer Clusters for Distributed Information Retrieval
Distributed Hash Tables (DHTs) are very efficient for querying based on key lookups, if only a small number of keys has to be registered by each individual peer. However, building...
Odysseas Papapetrou, Wolf Siberski, Wolf-Tilo Balk...