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ICML
2005
IEEE
16 years 7 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
16 years 3 months ago
Tracking User Mobility to Detect Suspicious Behavior.
Popularity of mobile devices is accompanied by widespread security problems, such as MAC address spoofing in wireless networks. We propose a probabilistic approach to temporal an...
Gaurav Tandon, Philip K. Chan
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
16 years 1 days ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar
KIVS
2005
Springer
15 years 12 months ago
A Case for Lightweight SuperPeer Topologies
: The usage of SuperPeers has been proposed to improve the performance of both Structured and Unstructured Peer-to-Peer (P2P) networks. In this paper we explore a network-aware cla...
Michael Kleis, Eng Keong Lua, Xiaoming Zhou
IEEEAMS
2003
IEEE
15 years 11 months ago
Rich and Scalable Peer-to-Peer Search with SHARK
SHARK is a novel concept and middleware service for search in peer-to-peer (P2P) networks. Rather than flooding a network like Gnutella or imposing numerical IDs on objects like d...
Jan Mischke, Burkhard Stiller