Machine Learning Approaches for Urban Computing

Machine Learning Approaches for Urban Computing КНИГИ » ИСТОРИЯ

Название: Machine Learning Approaches for Urban Computing
Автор: Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy
Издательство: Springer
Год: 2021
Формат: ePUB, PDF
Страниц: 297 mb
Для сайта: Mirknig.su
Размер: 64 mb
Язык: English

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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ОТСУТСТВУЕТ ССЫЛКА/ НЕ РАБОЧАЯ ССЫЛКА ЕСТЬ РЕШЕНИЕ, ПИШИМ СЮДА!

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