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» Data Mining for Genetics: A Genetic Algorithm Approach
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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 7 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 2 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
16 years 1 months ago
Adapting Information Bottleneck Method for Automatic Construction of Domain-oriented Sentiment Lexicon
Domain-oriented sentiment lexicons are widely used for finegrained sentiment analysis on reviews; therefore, the automatic construction of domain-oriented sentiment lexicon is a f...
Songbo Tan, Weifu Du, Xiaochun Yun, Xueqi Cheng
ADMA
2008
Springer
240views Data Mining» more  ADMA 2008»
15 years 10 months ago
Automatic Web Tagging and Person Tagging Using Language Models
Abstract. Social bookmarking has become an important web2.0 application recently, which is concerned with the dual user behavior to search - tagging. Although social bookmarking we...
Qiaozhu Mei, Yi Zhang
BMCBI
2004
167views more  BMCBI 2004»
15 years 4 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...