TY  - GEN
AB  - 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.
AU  - Bandyopadhyay, Mainak,
AU  - Rout, Minakhi,
AU  - Chandra Satapathy, Suresh.,
CN  - TD159.4
DO  - 10.1007/978-981-16-0935-0
DO  - doi
ID  - 1436229
KW  - Smart cities.
KW  - Machine learning.
KW  - Municipal engineering
KW  - Municipal services
KW  - City planning
KW  - Big data.
KW  - Villes intelligentes.
KW  - Apprentissage automatique.
KW  - Génie urbain
KW  - Services municipaux
KW  - Données volumineuses.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0935-0
N2  - 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.
SN  - 9789811609350
SN  - 9811609357
T1  - Machine learning approaches for urban computing /
TI  - Machine learning approaches for urban computing /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0935-0
VL  - volume 968
ER  -