logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Machine Learning Approaches For Urban Computing Eds Mainak Bandyopadhyay

  • SKU: BELL-50788706
Machine Learning Approaches For Urban Computing Eds Mainak Bandyopadhyay
$ 31.00 $ 45.00 (-31%)

4.3

58 reviews

Machine Learning Approaches For Urban Computing Eds Mainak Bandyopadhyay instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 12.15 MB
Pages: 214
Author: (Eds) Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy
ISBN: 9789811609343, 9789811609350, 9811609349, 9811609357
Language: English
Year: 2021
Volume: 968

Product desciption

Machine Learning Approaches For Urban Computing Eds Mainak Bandyopadhyay by (eds) Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy 9789811609343, 9789811609350, 9811609349, 9811609357 instant download after payment.

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.

Related Products