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» An Empirical Comparison of Four Text Mining Methods
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WWW
2010
ACM
15 years 6 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney
ICAI
2004
15 years 1 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
BMCBI
2007
151views more  BMCBI 2007»
14 years 11 months ago
A comparison study on algorithms of detecting long forms for short forms in biomedical text
Motivation: With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building litera...
Manabu Torii, Zhang-Zhi Hu, Min Song, Cathy H. Wu,...
BMCBI
2006
200views more  BMCBI 2006»
14 years 11 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
ACL
2003
15 years 1 months ago
An Evaluation Method of Words Tendency using Decision Tree
In every text, some words have frequency appearance and are considered as keywords because they have strong relationship with the subjects of their texts, these words frequencies ...
El-Sayed Atlam, Masaki Oono, Jun-Ichi Aoe