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Více informací o knize Machine Learning Approaches for Urban Computing

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Machine Learning Approaches for Urban Computing
• Autor: Mainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 208
• EAN: 9789811609374
• ID: 38950610
• Nakladatelství: Springer Verlag, Singapore
• Hmotnost: 343 g
• Rozměry: 235 × 155 × 13 mm
• Datum vydání: 30. April 2022

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