Handbook of Mobility Data Mining, Volume 2
Handbook of Mobility Data Mining, Volume 2

Author: Haoran Zhang

Publisher: Elsevier

Published: 2023-01-29

Total Pages: 212

ISBN-13: 0443184259

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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 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

Handbook of Mobility Data Mining, Volume 3
Handbook of Mobility Data Mining, Volume 3

Author: Haoran Zhang

Publisher: Elsevier

Published: 2023-01-29

Total Pages: 244

ISBN-13: 0443184232

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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 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 contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management—detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19—and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality. - Introduces MDM applications from six major areas: intelligent transportation management, shared transportation systems, disaster management, pandemic response, low-carbon transportation, and social equality - Uses case studies to examine possible solutions that facilitate ethical, secure, and controlled emergency management based on mobile big data - Helps develop policy innovations beneficial to citizens, businesses, and society - 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

Handbook of Mobility Data Mining, Volume 1
Handbook of Mobility Data Mining, Volume 1

Author: Haoran Zhang

Publisher: Elsevier

Published: 2023-01-29

Total Pages: 224

ISBN-13: 0443184291

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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 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 contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining. - Introduces the characteristics of different mobility data sources, like GPS, CDR, and sensor-based mobility data - Summarizes existing visualization technologies of the current transportation system into a multi-view frame, covering the perspective of the three leading actors - Provides recommendations for practical open-source tools and libraries for system visualization - 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

Handbook of Computational Social Science, Volume 2
Handbook of Computational Social Science, Volume 2

Author: Uwe Engel

Publisher: Taylor & Francis

Published: 2021-11-10

Total Pages: 434

ISBN-13: 1000448592

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The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Mobility, Data Mining and Privacy
Mobility, Data Mining and Privacy

Author: Fosca Giannotti

Publisher: Springer Science & Business Media

Published: 2008-01-12

Total Pages: 415

ISBN-13: 3540751777

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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 technological issues of mobility data, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, and this book relates their findings in 13 chapters covering all related subjects.

Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts
Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts

Author: Cruz-Cunha, Maria Manuela

Publisher: IGI Global

Published: 2011-04-30

Total Pages: 1434

ISBN-13: 1609600436

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Discusses the main issues, challenges, opportunities, and trends related to this explosive range of new developments and applications, in constant evolution, and impacting every organization and society as a whole. This two volume handbook supports post-graduate students, teachers, and researchers, as well as IT professionals and managers.

Handbook of Natural Polymers, Volume 2
Handbook of Natural Polymers, Volume 2

Author: M.S. Sreekala

Publisher: Elsevier

Published: 2024-06-25

Total Pages: 590

ISBN-13: 0323998577

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The Handbook of Natural Polymers, Volume Two: Functionalization, Surface Modification, and Properties covers modifications, functionalization, analysis and properties of polymers from natural sources. The book begins by introducing the current state-of-the-art, challenges and opportunities in natural polymers. This is followed by detailed coverage of methods for chemical, physical and surface modifications, and functionalization of natural polymers, including nanocellulose composites, gluten, chitin, alginate, pectin, keratin, shellac, wool, hemicellulose, lignin, natural rubber, albumin, collagen, gelatin, zein, soya protein, silk fibroin, gutta percha and gum. The final chapters explain several other key aspects, such as microscopical and spectroscopical analysis, mechanical, thermal, and more. The book aims to offer potential avenues for the preparation, modification, and implementation of advanced natural polymer-based materials with the desired properties for specific applications. - Provides systematic coverage of the latest methods for functionalization, surface modification, and properties' analysis of natural polymers - Includes an extensive range of natural polymer sources, including established biopolymers and emerging materials - Explores modifications and properties of natural polymers and their related composites, blends, IPNs, gels and nanoparticles

Handbook on Decision Making
Handbook on Decision Making

Author: Jie Lu

Publisher: Springer Science & Business Media

Published: 2012-03-15

Total Pages: 457

ISBN-13: 3642257550

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This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.