Machine Learning Approaches for Urban Computing

Released on by Mainak Bandyopadhyay
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  • Machine Learning Approaches for Urban Computing Book Detail

  • Author : Mainak Bandyopadhyay
  • Release Date : 2021-04-28
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 208
  • ISBN 13 : 9811609357
  • File Size : 34,34 MB
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Machine Learning Approaches for Urban Computing by Mainak Bandyopadhyay PDF Summary

Book Description: This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data. The book is helpful for researchers, academicians, faculties, scientists and geospatial industry professionals for their research work and sets new ideas in the field of urban computing.

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An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications. Urban computi