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KI
2002
Springer
13 years 4 months ago
Text-Mining in Adaptive Read
Adaptive READ ist ein vom BMBF gef
Stefan Agne, Armin Hust, Stefan Klink, Markus Junk...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 5 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
2007
IEEE
157views Data Mining» more  ICDM 2007»
13 years 6 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
JCDL
2006
ACM
140views Education» more  JCDL 2006»
13 years 11 months ago
Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces
This paper describes a system to support humanities scholars in their interpretation of literary work. It presents a user interface and web architecture that integrates text minin...
Catherine Plaisant, James Rose, Bei Yu, Loretta Au...
IPM
2006
64views more  IPM 2006»
13 years 4 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan