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portada Machine Learning Approaches for Urban Computing
Type
Physical Book
Publisher
Author
Language
English
Pages
208
Format
Paperback
ISBN13
9789811609374

Machine Learning Approaches for Urban Computing

Mainak Bandyopadhyay (Author) · Springer Verlag Gmbh · Paperback

Machine Learning Approaches for Urban Computing - Mainak Bandyopadhyay

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Synopsis "Machine Learning Approaches for Urban Computing "

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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The book is written in English.

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The binding of this edition is Paperback.

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