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COLING
2010
13 years 2 months ago
Instance Sense Induction from Attribute Sets
This paper investigates the new problem of automatic sense induction for instance names using automatically extracted attribute sets. Several clustering strategies and data source...
Ricardo Martin-Brualla, Enrique Alfonseca, Marius ...
BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
RSFDGRC
2009
Springer
119views Data Mining» more  RSFDGRC 2009»
14 years 2 months ago
Interval Set Cluster Analysis: A Re-formulation
A new clustering strategy is proposed based on interval sets, which is an alternative formulation different from the ones used in the existing studies. Instead of using a single s...
Yiyu Yao, Pawan Lingras, Ruizhi Wang, Duoqian Miao
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 7 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
LREC
2008
129views Education» more  LREC 2008»
13 years 9 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki