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157
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CVPR
2004
IEEE
16 years 5 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
145
Voted
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
16 years 4 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
TCSV
2008
150views more  TCSV 2008»
15 years 3 months ago
Mining Recurring Events Through Forest Growing
Recurring events are short temporal patterns that consist of multiple instances in the target database. Without any a priori knowledge of the recurring events, in terms of their le...
Junsong Yuan, Jingjing Meng, Ying Wu, Jiebo Luo
126
Voted
ICAD
2004
15 years 5 months ago
Soundserver: Data Sonification On-Demand for Computational Instances
The rapid accumulation of large collections of data has created the need for efficient and intelligent schemes for knowledge extraction and results analysis. The resulting informa...
Jorge Cardoso, Jos Carvalho, Luís Teixeira,...
141
Voted
ISPA
2007
Springer
15 years 9 months ago
Channel Assignment and Spatial Reuse Scheduling to Improve Throughput and Enhance Fairness in Wireless Mesh Networks
In wireless mesh network, by equipped mesh router with multiple radios tuned into orthogonal channels, throughput improvement problem can be alleviated. Efficient channel assignmen...
Nguyen H. Tran, Choong Seon Hong