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IICAI
2003
13 years 7 months ago
Machine Learning in Infrastructure Security
Abstract: Democratic societies throughout the world, it appears, are facing a new type of threat dubbed "asymmetric threat." In this new threat environment the world gove...
V. Rao Vemuri
COMAD
2009
13 years 6 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
ECRA
2007
141views more  ECRA 2007»
13 years 5 months ago
A growth theory perspective on B2C e-commerce growth in Europe: An exploratory study
Information and communication technologies (ICTs) continue to have a profound effect on the economies and societies where they are used. In this article, we propose three related...
Shuchun Ho, Robert J. Kauffman, Ting-Peng Liang
TSMC
2008
164views more  TSMC 2008»
13 years 5 months ago
Bagging and Boosting Negatively Correlated Neural Networks
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
AC
2000
Springer
13 years 5 months ago
State of the art in electronic payment systems
nvented abstract representations of value. As time passed, representations of value became more abstract, progressing from barter through bank notes, payment orders, checks, credit...
N. Asokan, Philippe A. Janson, Michael Steiner, Mi...