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KES
2007
Springer
13 years 8 months ago
KeyGraph-based chance discovery for mobile contents management system
Chance discovery provides a way to find rare but very important events for future decision making. It can be applied to stock market prediction, earthquake alarm, intrusion detect...
Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho
WSC
2008
13 years 11 months ago
Introducing age-based parameters into simulations of crowd dymanics
Very few crowds consist of individuals who are exactly the same. Defining variables, such as age, and how they affect an individual's movement, could increase realism in simu...
D. J. Kaup, Thomas L. Clarke, Rex Oleson, Linda C....
IPPS
2006
IEEE
14 years 2 months ago
Modeling malware propagation in Gnutella type peer-to-peer networks
A key emerging and popular communication paradigm, primarily employed for information dissemination, is peer-to-peer (P2P) networking. In this paper, we model the spread of malwar...
Krishna K. Ramachandran, Biplab Sikdar
CHI
2005
ACM
14 years 9 months ago
NEmESys: neural emotion eliciting system
This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on ...
Manfred Eckschlager, Regina Bernhaupt, Manfred Tsc...
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
14 years 19 days ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...