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ICDM
2006
IEEE
92views Data Mining» more  ICDM 2006»
14 years 5 months ago
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
ICDM
2006
IEEE
84views Data Mining» more  ICDM 2006»
14 years 5 months ago
Exploratory Under-Sampling for Class-Imbalance Learning
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
ICDM
2006
IEEE
98views Data Mining» more  ICDM 2006»
14 years 5 months ago
What is the Dimension of Your Binary Data?
Many 0/1 datasets have a very large number of variables; however, they are sparse and the dependency structure of the variables is simpler than the number of variables would sugge...
Nikolaj Tatti, Taneli Mielikäinen, Aristides ...
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
14 years 5 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 5 months ago
Detecting Link Spam Using Temporal Information
How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one majo...
Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Sh...