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Degree Level Dissertation Keyword(s) Data Analytics, Traffic Prediction, Low Rank Approximation, Pattern Recognition Algorithms, Non-Negative Matrix Factorization, Machine Learning Abstract Traffic management is one of the persistent challenges of the modern industrialized world.It simultaneously reflects both a critical infrastructural necessity and a problem involving a wide range of scales and interactions. Title Large scale urban patterns in NYC: traffic prediction and analysis via clustering and low rank approximation Author(s) Abolhelm, Marzieh Date of Publication Director of Research (if dissertation) or Advisor (if thesis) Sowers, Richard Doctoral Committee Chair(s) Beck, Carolyn Committee Member(s)ĭepartment of Study Industrial&Enterprise Sys Eng Discipline Industrial Engineering Degree Granting Institution University of Illinois at Urbana-Champaign Degree Name Ph.D.
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