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CICLING
2009
Springer
16 years 7 months ago
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
Ted Pedersen
RECOMB
2001
Springer
16 years 7 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
16 years 1 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
16 years 6 days ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen
ICA3PP
2005
Springer
16 years 4 days ago
A Practical Comparison of Cluster Operating Systems Implementing Sequential and Transactional Consistency
Shared Memory is an interesting communication paradigm for SMP machines and clusters. Weak consistency models have been proposed to improve efficiency of shared memory applications...
Stefan Frenz, Renaud Lottiaux, Michael Schött...