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IPM
2007
145views more  IPM 2007»
13 years 10 months ago
Text mining techniques for patent analysis
Patent documents contain important research results. However, they are lengthy and rich in technical terminology such that it takes a lot of human efforts for analyses. Automatic...
Yuen-Hsien Tseng, Chi-Jen Lin, Yu-I Lin
CIKM
2010
Springer
13 years 8 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 10 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
CASCON
2006
150views Education» more  CASCON 2006»
13 years 11 months ago
Exploring a new space of features for document classification: figure clustering
Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement ea...
Nawei Chen, Hagit Shatkay, Dorothea Blostein
DIS
2006
Springer
14 years 1 months ago
Visual Interactive Subgroup Discovery with Numerical Properties of Interest
Abstract. We propose an approach to subgroup discovery using distribution rules (a kind of association rules with a probability distribution on the consequent) for numerical proper...
Alípio Mário Jorge, Fernando Pereira...