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Handbook Of Mobility Data Mining Volume 1


Handbook Of Mobility Data Mining Volume 1
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Handbook Of Mobility Data Mining Volume 1


Handbook Of Mobility Data Mining Volume 1
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Author : Haoran Zhang
language : en
Publisher: Elsevier
Release Date : 2023-01-29

Handbook Of Mobility Data Mining Volume 1 written by Haoran Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-29 with Business & Economics categories.


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 Mobility Data Mining Volume 2


Handbook Of Mobility Data Mining Volume 2
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Author : Haoran Zhang
language : en
Publisher: Elsevier
Release Date : 2023-01-29

Handbook Of Mobility Data Mining Volume 2 written by Haoran Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-29 with Business & Economics categories.


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
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Author : Haoran Zhang
language : en
Publisher: Elsevier
Release Date : 2023-01-29

Handbook Of Mobility Data Mining Volume 3 written by Haoran Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-29 with Business & Economics categories.


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



Mobility Patterns Big Data And Transport Analytics


Mobility Patterns Big Data And Transport Analytics
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Author : Constantinos Antoniou
language : en
Publisher: Elsevier
Release Date : 2025-06-01

Mobility Patterns Big Data And Transport Analytics written by Constantinos Antoniou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Business & Economics categories.


Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns-a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning). Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.



Handbook Of Research On Mobility And Computing Evolving Technologies And Ubiquitous Impacts


Handbook Of Research On Mobility And Computing Evolving Technologies And Ubiquitous Impacts
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Author : Cruz-Cunha, Maria Manuela
language : en
Publisher: IGI Global
Release Date : 2011-04-30

Handbook Of Research On Mobility And Computing Evolving Technologies And Ubiquitous Impacts written by Cruz-Cunha, Maria Manuela and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-30 with Social Science categories.


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.



Guide To Mobile Data Analytics In Refugee Scenarios


Guide To Mobile Data Analytics In Refugee Scenarios
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Author : Albert Ali Salah
language : en
Publisher: Springer Nature
Release Date : 2019-09-06

Guide To Mobile Data Analytics In Refugee Scenarios written by Albert Ali Salah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-06 with Computers categories.


After the start of the Syrian Civil War in 2011–12, increasing numbers of civilians sought refuge in neighboring countries. By May 2017, Turkey had received over 3 million refugees — the largest refugee population in the world. Some lived in government-run camps near the Syrian border, but many have moved to cities looking for work and better living conditions. They faced problems of integration, income, welfare, employment, health, education, language, social tension, and discrimination. In order to develop sound policies to solve these interlinked problems, a good understanding of refugee dynamics isnecessary. This book summarizes the most important findings of the Data for Refugees (D4R) Challenge, which was a non-profit project initiated to improve the conditions of the Syrian refugees in Turkey by providing a database for the scientific community to enable research on urgent problems concerning refugees. The database, based on anonymized mobile call detail records (CDRs) of phone calls and SMS messages of one million Turk Telekom customers, indicates the broad activity and mobility patterns of refugees and citizens in Turkey for the year 1 January to 31 December 2017. Over 100 teams from around the globe applied to take part in the challenge, and 61 teams were granted access to the data. This book describes the challenge, and presents selected and revised project reports on the five major themes: unemployment, health, education, social integration, and safety, respectively. These are complemented by additional invited chapters describing related projects from international governmental organizations, technological infrastructure, as well as ethical aspects. The last chapter includes policy recommendations, based on the lessons learned. The book will serve as a guideline for creating innovative data-centered collaborations between industry, academia, government, and non-profit humanitarian agencies to deal with complex problems in refugee scenarios. It illustrates the possibilities of big data analytics in coping with refugee crises and humanitarian responses, by showcasing innovative approaches drawing on multiple data sources, information visualization, pattern analysis, and statistical analysis.It will also provide researchers and students working with mobility data with an excellent coverage across data science, economics, sociology, urban computing, education, migration studies, and more.



A Comprehensive Guide Through The Italian Database Research Over The Last 25 Years


A Comprehensive Guide Through The Italian Database Research Over The Last 25 Years
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Author : Sergio Flesca
language : en
Publisher: Springer
Release Date : 2017-05-29

A Comprehensive Guide Through The Italian Database Research Over The Last 25 Years written by Sergio Flesca and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-29 with Technology & Engineering categories.


This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.



Data Mining Approaches For Big Data And Sentiment Analysis In Social Media


Data Mining Approaches For Big Data And Sentiment Analysis In Social Media
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Author : Brij Gupta
language : en
Publisher:
Release Date : 2021

Data Mining Approaches For Big Data And Sentiment Analysis In Social Media written by Brij Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Big data categories.


"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--



Rapidminer


Rapidminer
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Author : Markus Hofmann
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Rapidminer written by Markus Hofmann and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.


Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre



Handbook Of Solid State Diffusion Volume 1


Handbook Of Solid State Diffusion Volume 1
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Author : Aloke Paul
language : en
Publisher: Elsevier
Release Date : 2017-04-11

Handbook Of Solid State Diffusion Volume 1 written by Aloke Paul and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-11 with Science categories.


Handbook of Solid State Diffusion, Volume 1: Diffusion Fundamentals and Techniques covers the basic fundamentals, techniques, applications, and latest developments in the area of solid-state diffusion, offering a pedagogical understanding for students, academicians, and development engineers. Both experimental techniques and computational methods find equal importance in the first of this two-volume set. Volume 1 covers the fundamentals and techniques of solid-state diffusion, beginning with a comprehensive discussion of defects, then different analyzing methods, and finally concluding with an exploration of the different types of modeling techniques. - Presents a handbook with a short mathematical background and detailed examples of concrete applications of the sophisticated methods of analysis - Enables readers to learn the basic concepts of experimental approaches and the computational methods involved in solid-state diffusion - Covers bulk, thin film, and nanomaterials - Introduces the problems and analysis in important materials systems in various applications - Collates contributions from academic and industrial problems from leading scientists involved in developing key concepts across the globe