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FLAIRS
2004
15 years 6 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
200
Voted
SIGCOMM
2010
ACM
15 years 5 months ago
Trust no one: a decentralized matching service for privacy in location based services
We propose a new approach to ensure privacy in location based services, without requiring any support from a"trusted" entity. We observe that users of location based ser...
Sharad Jaiswal, Animesh Nandi
IJISEC
2007
119views more  IJISEC 2007»
15 years 4 months ago
An incentive compatible reputation mechanism for ubiquitous computing environments
The vision of ubiquitous computing is becoming a reality thanks to the advent of portable devices and the advances in wireless networking technologies. It aims to facilitate user ...
Jinshan Liu, Valérie Issarny
PODC
2012
ACM
13 years 7 months ago
Byzantine broadcast in point-to-point networks using local linear coding
The goal of Byzantine Broadcast (BB) is to allow a set of fault-free nodes to agree on information that a source node wants to broadcast to them, in the presence of Byzantine faul...
Guanfeng Liang, Nitin H. Vaidya
143
Voted
WIKIS
2009
ACM
15 years 11 months ago
Measuring the wikisphere
Due to the inherent difficulty in obtaining experimental data from wikis, past quantitative wiki research has largely been focused on Wikipedia, limiting the degree that it can be...
Jeff Stuckman, James Purtilo