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» Info-fuzzy algorithms for mining dynamic data streams
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ADMA
2006
Springer
112views Data Mining» more  ADMA 2006»
15 years 10 months ago
Finding Time Series Discords Based on Haar Transform
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...
Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. K...
CIKM
2008
Springer
15 years 6 months ago
Characterizing and predicting community members from evolutionary and heterogeneous networks
Mining different types of communities from web data have attracted a lot of research efforts in recent years. However, none of the existing community mining techniques has taken i...
Qiankun Zhao, Sourav S. Bhowmick, Xin Zheng, Kai Y...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 4 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 5 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
KDD
2008
ACM
284views Data Mining» more  KDD 2008»
16 years 4 months ago
Community evolution in dynamic multi-mode networks
A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode netw...
Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri