To assist in discovering good predictive analytics workflows, we introduced recently a collaborative analytics system that allows workflow sharing and reuse. We ...
Aug 8, 2012 · ABSTRACT. There are many ways to build a predictive model from data. Besides the numerous classification or regression algorithms to.
Aug 14, 2015 · To assist in discovering good predictive analytics workflows, we introduced recently a collaborative analytics system that allows workflow ...
Bibliographic details on Collaborative analytics for predicting expressway-traffic congestion.
We incorporate locally relevant context (such as references to landmarks) to predict congestion and create traffic awareness. We deployed the app and evaluated ...
Jun 6, 2024 · We've developed a system designed to predict short-term traffic congestion on urban roads, while combating the challenges posed by environmental noise and ...
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Jul 5, 2022 · This work presented CoNeCT, a predictive and collaborative traffic management system for reducing traffic jams' impact in urban centers.
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By implementing K Nearest Neighbour (KNN) Algorithm, the project accurately predicts the traffic congestion values for the required day and time interval. The ...
The study aims to propose an intelligent real-time traffic model to address the traffic congestion problem.
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Collaborative analytics for predicting expressway-traffic congestion. CS ... Collaborative analytics with genetic programming for workflow recommendation.