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» Summarization of large scale social network activity
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WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
15 years 7 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
CEEMAS
2007
Springer
15 years 1 months ago
Exploring Social Networks in Request for Proposal Dynamic Coalition Formation Problems
In farsighted MAS, every agent is aware of each other, and so they can evaluate the outcomes of their interaction in an efficient way. However, this farsighted knowledge becomes an...
Carlos Mérida-Campos, Steven Willmott
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
15 years 10 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
ICMCS
2009
IEEE
183views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Modeling the tele-immersive systems using stochastic activity network
The next-generation social communication medium, teleimmersion, is receiving increasing attention from both the research and industrial communities. It enables interaction between...
Rahul Malik, Wanmin Wu, Klara Nahrstedt
ICDE
2010
IEEE
399views Database» more  ICDE 2010»
15 years 4 months ago
Discovery-driven graph summarization
Abstract— Large graph datasets are ubiquitous in many domains, including social networking and biology. Graph summarization techniques are crucial in such domains as they can ass...
Ning Zhang, Yuanyuan Tian, Jignesh M. Patel