Machine Learning Approaches for Urban Computing
Heftet /
2022
/ Engelsk
Produktdetaljer
ISBN
9789811609374
Publisert
2022-04-30
Utgiver
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
11
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.
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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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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 industry
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Produktdetaljer
ISBN
9789811609374
Publisert
2022-04-30
Utgiver
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
11