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» Mining roles with noisy data
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JASIS
2000
143views more  JASIS 2000»
13 years 10 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
BMCBI
2005
153views more  BMCBI 2005»
13 years 10 months ago
Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 8 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
ACL
2009
13 years 8 months ago
Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora
In this paper, we study the problem of extracting technical paraphrases from a parallel software corpus, namely, a collection of duplicate bug reports. Paraphrase acquisition is a...
Xiaoyin Wang, David Lo, Jing Jiang, Lu Zhang, Hong...
DMIN
2006
156views Data Mining» more  DMIN 2006»
14 years 8 days ago
Design of a data mining framework to mine generalized association rules in a web-based GIS
A Geographic Information System allows to create and manage spatial data. Having many public users who create and edit objects in geographic maps, the question of data quality aris...
Sebastian Haehnel, Johannes Hauf, Thomas Kudrass