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» Learning from Collective Behavior
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96
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PERVASIVE
2009
Springer
15 years 7 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset
105
Voted
SIGIR
2009
ACM
15 years 7 months ago
Detecting spammers and content promoters in online video social networks
A number of online video social networks, out of which YouTube is the most popular, provides features that allow users to post a video as a response to a discussion topic. These f...
Fabrício Benevenuto, Tiago Rodrigues, Virg&...
99
Voted
MICRO
2007
IEEE
79views Hardware» more  MICRO 2007»
15 years 7 months ago
Time Interpolation: So Many Metrics, So Few Registers
The performance of computer systems varies over the course of their execution. A system may perform well during some parts of its execution and poorly during others. To understand...
Todd Mytkowicz, Peter F. Sweeney, Matthias Hauswir...
89
Voted
EDM
2009
116views Data Mining» more  EDM 2009»
14 years 10 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
15 years 6 days ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk