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» An Empirical Comparison of Four Text Mining Methods
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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 5 days ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
BMCBI
2010
149views more  BMCBI 2010»
14 years 11 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
BIBE
2006
IEEE
184views Bioinformatics» more  BIBE 2006»
15 years 5 months ago
A Language Modeling Text Mining Approach to the Annotation of Protein Community
This paper discusses an ontology based language modeling text mining approach to the annotation of protein community. Communities appear to play an important role in the functional...
Xiaodan Zhang, Daniel Duanqing Wu, Xiaohua Zhou, X...
67
Voted
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
16 years 23 hour ago
Mining multi-faceted overviews of arbitrary topics in a text collection
A common task in many text mining applications is to generate a multi-faceted overview of a topic in a text collection. Such an overview not only directly serves as an informative...
Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Sc...
74
Voted
PKDD
2007
Springer
86views Data Mining» more  PKDD 2007»
15 years 5 months ago
An Effective Approach to Enhance Centroid Classifier for Text Categorization
Centroid Classifier has been shown to be a simple and yet effective method for text categorization. However, it is often plagued with model misfit (or inductive bias) incurred by i...
Songbo Tan, Xueqi Cheng