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» Three Case Studies of Large-Scale Data Flows
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KDD
2009
ACM
196views Data Mining» more  KDD 2009»
14 years 2 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
TKDE
2008
122views more  TKDE 2008»
13 years 7 months ago
Protection of Database Security via Collaborative Inference Detection
Malicious users can exploit the correlation among data to infer sensitive information from a series of seemingly innocuous data accesses. Thus, we develop an inference violation d...
Yu Chen, Wesley W. Chu
HIS
2008
13 years 9 months ago
A GRASP Algorithm Using RNN for Solving Dynamics in a P2P Live Video Streaming Network
In this paper, we present an algorithm based on the GRASP metaheuristic for solving a dynamic assignment problem in a P2P network designed for sending real-time video over the Int...
Marcelo Martínez, Alexis Morón, Fran...
APVIS
2009
13 years 8 months ago
Visualizing time-varying features with TAC-based distance fields
To analyze time-varying data sets, tracking features over time is often necessary to better understand the dynamic nature of the underlying physical process. Tracking 3D time-vary...
Teng-Yok Lee, Han-Wei Shen
CORR
2006
Springer
153views Education» more  CORR 2006»
13 years 7 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...