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» A New Indexing Method for High Dimensional Dataset
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87
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KDD
1997
ACM
104views Data Mining» more  KDD 1997»
15 years 4 months ago
Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
Jesús Cerquides, Ramon López de M&aa...
JCIT
2010
190views more  JCIT 2010»
14 years 7 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
107
Voted
IJCNN
2007
IEEE
15 years 7 months ago
3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization
—A new interactive visualization tool is proposed for textual data mining based on bipartite graph visualization. Applications to three text datasets are presented to show the ca...
Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Ta...
168
Voted
CVPR
2012
IEEE
13 years 3 months ago
The inverted multi-index
A new data structure for efficient similarity search in very large datasets of high-dimensional vectors is introduced. This structure called the inverted multi-index generalizes ...
Artem Babenko, Victor S. Lempitsky
102
Voted
ICASSP
2007
IEEE
15 years 7 months ago
Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
Tran Huy Dat, Cuntai Guan