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145
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FLAIRS
2008
15 years 6 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
127
Voted
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 3 months ago
Discovering Classification from Data of Multiple Sources
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
Charles X. Ling, Qiang Yang
124
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SEKE
2005
Springer
15 years 9 months ago
From Data to Knowledge: an Integrated Rule-Based Data Mining System
This paper presents an integrated rule-based data mining system that is capable of creating rulebased classifiers with web-based user interface from data sets provided by end user...
Chien-Chung Chan, Zhicheng Su
74
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PKDD
2004
Springer
81views Data Mining» more  PKDD 2004»
15 years 9 months ago
Learning from Little: Comparison of Classifiers Given Little Training
George Forman, Ira Cohen
132
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CRV
2009
IEEE
139views Robotics» more  CRV 2009»
15 years 1 months ago
A Multiple Hypothesis Tracking Method with Fragmentation Handling
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
Atousa Torabi, Guillaume-Alexandre Bilodeau