Handbook of Mobility Data Mining Volume 2 Book [PDF] Download

Download the fantastic book titled Handbook of Mobility Data Mining Volume 2 written by Haoran Zhang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Handbook of Mobility Data Mining Volume 2", which was released on 29 January 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.

Summary of Handbook of Mobility Data Mining Volume 2 by Haoran Zhang PDF

Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction 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. The book explains how to preprocess mobile 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. The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. The book concludes with a chapter on graph-based mobility data analytics. The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations. Discusses how to efficiently simulate massive and large-scale people movement and predict mobility at an urban scale Introduces both online detection methods, which can sequentially process data, and offline detection methods, which are usually more robust Stems from the editor’s strong network of global transport authorities and transport companies, providing a solid knowledge structure and data foundation as well as geographical and stakeholder coverage


Detail About Handbook of Mobility Data Mining Volume 2 PDF

  • Author : Haoran Zhang
  • Publisher : Elsevier
  • Genre : Business & Economics
  • Total Pages : 212 pages
  • ISBN : 0443184259
  • PDF File Size : 35,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Handbook of Mobility Data Mining, Volume 2

Handbook of Mobility Data Mining, Volume 2
  • Publisher : Elsevier
  • File Size : 29,9 Mb
  • Release Date : 29 January 2023
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Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively

Handbook of Mobility Data Mining, Volume 1

Handbook of Mobility Data Mining, Volume 1
  • Publisher : Elsevier
  • File Size : 37,6 Mb
  • Release Date : 15 January 2023
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Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively

Handbook of Mobility Data Mining, Volume 3

Handbook of Mobility Data Mining, Volume 3
  • Publisher : Elsevier
  • File Size : 24,9 Mb
  • Release Date : 29 January 2023
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Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand

Handbook of Mobility Data Mining, Volume 1

Handbook of Mobility Data Mining, Volume 1
  • Publisher : Elsevier
  • File Size : 31,6 Mb
  • Release Date : 29 January 2023
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Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively

Mobility Data

Mobility Data
  • Publisher : Cambridge University Press
  • File Size : 25,8 Mb
  • Release Date : 14 October 2013
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Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter

Mobility, Data Mining and Privacy

Mobility, Data Mining and Privacy
  • Publisher : Springer
  • File Size : 32,9 Mb
  • Release Date : 19 October 2010
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Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and

Mobility Data Management and Exploration

Mobility Data Management and Exploration
  • Publisher : Springer
  • File Size : 26,5 Mb
  • Release Date : 08 July 2014
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This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications.

Handbook of Mobile Data Privacy

Handbook of Mobile Data Privacy
  • Publisher : Springer
  • File Size : 23,7 Mb
  • Release Date : 26 October 2018
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This handbook covers the fundamental principles and theory, and the state-of-the-art research, systems and applications, in the area of mobility data privacy. It is primarily addressed to computer science and

Mobility, Data Mining and Privacy

Mobility, Data Mining and Privacy
  • Publisher : Springer Science & Business Media
  • File Size : 28,6 Mb
  • Release Date : 12 January 2008
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Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and