Machine learning approaches for urban computing / Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy, editors.
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...
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| Other Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2021]
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| Series: | Studies in computational intelligence ;
v. 968. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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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| Physical Description: | 1 online resource (xi, 208 pages) : illustrations (some colour). |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9811609349 9789811609343 9811609357 9789811609350 |
| ISSN: | 1860-949X ; |