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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 4 months 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
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 2 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
ISI
2004
Springer
13 years 9 months ago
Generating Concept Hierarchies from Text for Intelligence Analysis
It is important to automatically extract key information from sensitive text documents for intelligence analysis. Text documents are usually unstructured and information extraction...
Jenq-Haur Wang, Chien-Chung Huang, Jei-Wen Teng, L...
ICCBR
2010
Springer
13 years 8 months ago
Text Adaptation Using Formal Concept Analysis
This paper addresses the issue of adapting cases represented by plain text with the help of formal concept analysis and natural language processing technologies. The actual cases r...
Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer,...
ACL
2009
13 years 2 months ago
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective cha...
Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu ...