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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
2009
ACM
176views Data Mining» more  WSDM 2009»
14 years 3 months ago
The web changes everything: understanding the dynamics of web content
The Web is a dynamic, ever changing collection of information. This paper explores changes in Web content by analyzing a crawl of 55,000 Web pages, selected to represent different...
Eytan Adar, Jaime Teevan, Susan T. Dumais, Jonatha...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 3 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
CIKM
2009
Springer
14 years 3 months ago
Group CRM: a new telecom CRM framework from social network perspective
The structure of customer communication network provides us a natural way to understand customers’ relationships. Traditional customer relationship management (CRM) methods focu...
Bin Wu, Qi Ye, Shengqi Yang, Bai Wang
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
14 years 3 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...