Machine Learning Approaches for Urban Computing
Download or Read eBook Machine Learning Approaches for Urban Computing PDF written by Mainak Bandyopadhyay and published by Springer Nature. This book was released on 2021-04-28 with total page 208 pages. Available in PDF, EPUB and Kindle.
| Author | : Mainak Bandyopadhyay |
| Publisher | : Springer Nature |
| Total Pages | : 208 |
| Release | : 2021-04-28 |
| ISBN-10 | : 9789811609350 |
| ISBN-13 | : 9811609357 |
| Rating | : 4/5 (50 Downloads) |
Book Synopsis Machine Learning Approaches for Urban Computing by : Mainak Bandyopadhyay
Book excerpt: 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.
