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130
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KDD
2004
ACM
124views Data Mining» more  KDD 2004»
15 years 9 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
102
Voted
ICDM
2003
IEEE
170views Data Mining» more  ICDM 2003»
15 years 8 months ago
Algorithms for Spatial Outlier Detection
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial ...
Chang-Tien Lu, Dechang Chen, Yufeng Kou
149
Voted
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
148
Voted
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
15 years 5 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
140
Voted
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
15 years 5 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar