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» An Empirical Comparison of Four Text Mining Methods
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ICWSM
2008
15 years 1 months ago
International Sentiment Analysis for News and Blogs
There is a growing interest in mining opinions using sentiment analysis methods from sources such as news, blogs and product reviews. Most of these methods have been developed for...
Mikhail Bautin, Lohit Vijayarenu, Steven Skiena
JMLR
2010
134views more  JMLR 2010»
14 years 6 months ago
Bayesian Algorithms for Causal Data Mining
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
Subramani Mani, Constantin F. Aliferis, Alexander ...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
16 years 3 days ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
CIMCA
2005
IEEE
15 years 5 months ago
Topic-Based Audience Metrics for Internet Marketing by Combining Ontologies and Output Page Mining
In Internet marketing, Web audience analysis is essential to understanding the visitors’ needs. However, the existing analysis tools fail to deliver summarized and conceptual me...
Jean-Pierre Norguet, Esteban Zimányi
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 5 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore