Machine Learning Approaches for Urban Computing (1st ed. 2021) (Studies in Computational Intelligence #968)
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- Synopsis
- 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.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811609350
- Related ISBNs:
- 9789811609343
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 05/30/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Mainak Bandyopadhyay
- Edited by:
- Minakhi Rout
- Edited by:
- Suresh Chandra Satapathy
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- by Mainak Bandyopadhyay
- by Minakhi Rout
- by Suresh Chandra Satapathy
- in Nonfiction
- in Computers and Internet
- in Technology