书目名称 | Machine Learning Approaches for Urban Computing |
编辑 | Mainak Bandyopadhyay,Minakhi Rout,Suresh Chandra S |
视频video | |
概述 | Discusses various machine learning applications and models.Details multiple types of data generating from urban activities.Serves as a future guide for researchers and practitioners in academia and in |
丛书名称 | Studies in Computational Intelligence |
图书封面 |  |
描述 | .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.. |
出版日期 | Book 2021 |
关键词 | Urban Computing; Machine Learning; Urban Data; Big Data; Social-Media; Urban Transportation |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-16-0935-0 |
isbn_softcover | 978-981-16-0937-4 |
isbn_ebook | 978-981-16-0935-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |