Machine Learning Approaches for Urban Computing

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Machine Learning Approaches for Urban Computing is written by Mainak Bandyopadhyay and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 9811609357 (ISBN 10) and 9789811609350 (ISBN 13).

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.