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» Visualizing Sequential Patterns for Text Mining
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KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 11 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
IEICET
2007
127views more  IEICET 2007»
13 years 10 months ago
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Signi...
Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, ...
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 11 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
APWEB
2006
Springer
14 years 2 months ago
An Effective System for Mining Web Log
The WWW provides a simple yet effective media for users to search, browse, and retrieve information in the Web. Web log mining is a promising tool to study user behaviors, which co...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 11 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...