Machine learning approaches for urban computing / Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy, editors.
Bandyopadhyay, Mainak, 1989- editor.; Rout, Minakhi, editor.; Chandra Satapathy, Suresh., editor.
2021
TD159.4
Available Online

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Title Machine learning approaches for urban computing / Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy, editors.
ISBN 9789811609350
9811609357
9811609349
9789811609343
DOI https://doi.org/10.1007/978-981-16-0935-0
Published Singapore : Springer, [2021]
Language English
Description 1 online resource (xi, 208 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-981-16-0935-0 doi
Call Number TD159.4
Dewey Decimal Classification 628.0285
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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 7, 2021).
Added Author Bandyopadhyay, Mainak, 1989- editor.
Rout, Minakhi, editor.
Chandra Satapathy, Suresh., editor.
Series Studies in computational intelligence ; v. 968. 1860-949X
Available in Other Form Machine Learning Approaches for Urban Computing.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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