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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 6 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
14 years 6 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
14 years 6 months ago
Exact Discovery of Time Series Motifs.
Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computat...
Abdullah Mueen, Eamonn J. Keogh, M. Brandon Westov...
WEA
2010
Springer
284views Algorithms» more  WEA 2010»
14 years 4 months ago
Paging Multiple Users in Cellular Network: Yellow Page and Conference Call Problems
Abstract. Mobile users are roaming in a zone of cells in a cellular network system. The probabilities of each user residing in each cell are known, and all probabilities are indepe...
Amotz Bar-Noy, Panagiotis Cheilaris, Yi Feng 0002
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
14 years 3 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic