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» Fuzzy sets in machine learning and data mining
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 6 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima
NIPS
2001
15 years 5 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
DASFAA
2005
IEEE
141views Database» more  DASFAA 2005»
15 years 10 months ago
Learning Tree Augmented Naive Bayes for Ranking
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 4 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
WSDM
2012
ACM
300views Data Mining» more  WSDM 2012»
14 years 1 days ago
Adding semantics to microblog posts
Microblogs have become an important source of information for the purpose of marketing, intelligence, and reputation management. Streams of microblogs are of great value because o...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke