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dc.contributor.authorHaoran Zhang-
dc.date.accessioned2024-03-13T03:47:23Z-
dc.date.available2024-03-13T03:47:23Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/9521-
dc.description.abstractThe Handbook of Mobility Data Mining introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. It explains how to preprocess mobility big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems.vi
dc.language.isoenvi
dc.publisherElseviervi
dc.subjectBig data | Data mining | Khai thác dữ liệuvi
dc.titleHandbook of mobility data miningvi
dc.title.alternativeVolume 1: Data preprocessing and predictionvi
dc.typeSách/Bookvi
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