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» Evaluation of text clustering methods using wordnet
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BMCBI
2010
153views more  BMCBI 2010»
15 years 6 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
COLING
2010
15 years 1 months ago
The Role of Queries in Ranking Labeled Instances Extracted from Text
A weakly supervised method uses anonymized search queries to induce a ranking among class labels extracted from unstructured text for various instances. The accuracy of the extrac...
Marius Pasca
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 7 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
BMCBI
2007
144views more  BMCBI 2007»
15 years 6 months ago
InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic ge
Background: Although many genomic features have been used in the prediction of proteinprotein interactions (PPIs), frequently only one is used in a computational method. After rea...
Jingchun Sun, Yan Sun, Guohui Ding, Qi Liu, Chuan ...
SMC
2007
IEEE
100views Control Systems» more  SMC 2007»
16 years 19 days ago
Text categorization based on the ratio of word frequency in each categories
— In the present paper, we consider the automatic text categorization as a series of information processing and propose a new classification technique called the Frequency Ratio ...
Makoto Suzuki, Shigeichi Hirasawa