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» Generation of Attributes for Learning Algorithms
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WWW
2008
ACM
14 years 8 months ago
Towards a global schema for web entities
Popular entities often have thousands of instances on the Web. In this paper, we focus on the case where they are presented in table-like format, namely appearing with their attri...
Conglei Yao, Yongjian Yu, Sicong Shou, Xiaoming Li
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 4 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
FLAIRS
2008
13 years 10 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
PVLDB
2008
104views more  PVLDB 2008»
13 years 7 months ago
Efficient skyline querying with variable user preferences on nominal attributes
Current skyline evaluation techniques assume a fixed ordering on the attributes. However, dynamic preferences on nominal attributes are more realistic in known applications. In or...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei, ...
ANNES
1995
13 years 11 months ago
The Development of Holte's 1R Classifier
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. W...