EXPLORING SPATIOTEMPORAL PATTERNS OF LONG-DISTANCE TAXI RIDES IN SHANGHAI



Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems

Effective planning and optimized execution of the e-Science workflows in distributed systems, such as the Grid, need predictions of execution times of the workflows.However, predicting the execution times of e-Science workflows in heterogeneous distributed systems is a challenging job due WASH to the complex structure of workflows, variations due t

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