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» Insights from Network Structure for Text Mining
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IMC
2006
ACM
15 years 3 months ago
Semi-automated discovery of application session structure
While the problem of analyzing network traffic at the granularity of individual connections has seen considerable previous work and tool development, understanding traffic at a ...
Jayanthkumar Kannan, Jaeyeon Jung, Vern Paxson, Ca...
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
13 years 5 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
ANCS
2007
ACM
15 years 1 months ago
High-speed detection of unsolicited bulk emails
We propose a Progressive Email Classifier (PEC) for highspeed classification of message patterns that are commonly associated with unsolicited bulk email (UNBE). PEC is designed t...
Sheng-Ya Lin, Cheng-Chung Tan, Jyh-Charn Liu, Mich...
IWANN
2009
Springer
15 years 4 months ago
GREAT: Gene Regulation EvAluation Tool
Our understanding of biological systems is highly dependent on the study of the mechanisms that regulate genetic expression. In this paper we present a tool to evaluate scientific ...
Catia Machado, Hugo P. Bastos, Francisco M. Couto
WWW
2010
ACM
15 years 4 months ago
Predicting positive and negative links in online social networks
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or ant...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...