Handbook Of Mobility Data Mining

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• Author : Haoran Zhang
• Publisher : Elsevier
• Release Date : 2023-01-15
• Total pages : 222
• ISBN : 9780443184284
• File Size : 43,5 Mb
• Total Download : 520
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Download Handbook of Mobility Data Mining, Volume 1 in PDF, Epub, and Kindle

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

• Author : Haoran Zhang
• Publisher : Elsevier
• Release Date : 2023-01-29
• Total pages : 212
• ISBN : 9780443184253
• File Size : 12,8 Mb
• Total Download : 466
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Download Handbook of Mobility Data Mining, Volume 2 in PDF, Epub, and Kindle

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

• Author : Haoran Zhang
• Publisher : Elsevier
• Release Date : 2023-01-29
• Total pages : 244
• ISBN : 9780443184239
• File Size : 48,7 Mb
• Total Download : 728
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Download Handbook of Mobility Data Mining, Volume 3 in PDF, Epub, and Kindle

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

• Author : Haoran Zhang
• Publisher : Elsevier
• Release Date : 2023-01-29
• Total pages : 224
• ISBN : 9780443184291
• File Size : 28,7 Mb
• Total Download : 210
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Download Handbook of Mobility Data Mining, Volume 1 in PDF, Epub, and Kindle

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

• Author : Aris Gkoulalas-Divanis,Claudio Bettini
• Publisher : Springer
• Release Date : 2018-10-26
• Total pages : 403
• ISBN : 9783319981611
• File Size : 29,8 Mb
• Total Download : 589
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Download Handbook of Mobile Data Privacy in PDF, Epub, and Kindle

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 statistics researchers and educators, who are interested in topics related to mobility privacy. This handbook will also be valuable to industry developers, as it explains the state-of-the-art algorithms for offering privacy. By discussing a wide range of privacy techniques, providing in-depth coverage of the most important ones, and highlighting promising avenues for future research, this handbook also aims at attracting computer science and statistics students to this interesting field of research. The advances in mobile devices and positioning technologies, together with the progress in spatiotemporal database research, have made possible the tracking of mobile devices (and their human companions) at very high accuracy, while supporting the efficient storage of mobility data in data warehouses, which this handbook illustrates. This has provided the means to collect, store and process mobility data of an unprecedented quantity, quality and timeliness. As ubiquitous computing pervades our society, user mobility data represents a very useful but also extremely sensitive source of information. On one hand, the movement traces that are left behind by the mobile devices of the users can be very useful in a wide spectrum of applications such as urban planning, traffic engineering, and environmental pollution management. On the other hand, the disclosure of mobility data to third parties may severely jeopardize the privacy of the users whose movement is recorded, leading to abuse scenarios such as user tailing and profiling. A significant amount of research work has been conducted in the last 15 years in the area of mobility data privacy and important research directions, such as privacy-preserving mobility data management, privacy in location sensing technologies and location-based services, privacy in vehicular communication networks, privacy in location-based social networks, privacy in participatory sensing systems which this handbook addresses.. This handbook also identifies important privacy gaps in the use of mobility data and has resulted to the adoption of international laws for location privacy protection (e.g., in EU, US, Canada, Australia, New Zealand, Japan, Singapore), as well as to a large number of interesting technologies for privacy-protecting mobility data, some of which have been made available through open-source systems and featured in real-world applications.

• Author : Faiz, Sami,Mahmoudi, Khaoula
• Publisher : IGI Global
• Release Date : 2016-10-21
• Total pages : 650
• ISBN : 9781522509387
• File Size : 52,8 Mb
• Total Download : 875
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Download Handbook of Research on Geographic Information Systems Applications and Advancements in PDF, Epub, and Kindle

The proper management of geographic data can provide assistance to a number of different sectors within society. As such, it is imperative to continue advancing research for spatial data analysis. The Handbook of Research on Geographic Information Systems Applications and Advancements presents a thorough overview of the latest developments in effective management techniques for collecting, processing, analyzing, and utilizing geographical data and information. Highlighting theoretical frameworks and relevant applications, this book is an ideal reference source for researchers, academics, professionals, and students actively involved in the field of geographic information systems.

• Author : Hassanien, Aboul Ella,Gaber, Tarek
• Publisher : IGI Global
• Release Date : 2017-04-03
• Total pages : 1093
• ISBN : 9781522522300
• File Size : 15,8 Mb
• Total Download : 791
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Download Handbook of Research on Machine Learning Innovations and Trends in PDF, Epub, and Kindle

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

• Author : Martin Werner,Yao-Yi Chiang
• Publisher : Springer Nature
• Release Date : 2021-05-07
• Total pages : 641
• ISBN : 9783030554620
• File Size : 12,6 Mb
• Total Download : 902
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Download Handbook of Big Geospatial Data in PDF, Epub, and Kindle

This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.

• Author : Cruz-Cunha, Maria Manuela,Moreira, Fernando
• Publisher : IGI Global
• Release Date : 2011-04-30
• Total pages : 1584
• ISBN : 9781609600433
• File Size : 14,9 Mb
• Total Download : 377
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Download Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts in PDF, Epub, and Kindle

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.

• Author : Fosca Giannotti,Dino Pedreschi
• Publisher : Springer Science & Business Media
• Release Date : 2008-01-12
• Total pages : 410
• ISBN : 9783540751779
• File Size : 19,7 Mb
• Total Download : 561
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Download Mobility, Data Mining and Privacy in PDF, Epub, and Kindle

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.

• Author : Wolfgang Kresse,David M. Danko
• Publisher : Springer Science & Business Media
• Release Date : 2012-02-21
• Total pages : 1132
• ISBN : 9783540726807
• File Size : 39,7 Mb
• Total Download : 151
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Download Springer Handbook of Geographic Information in PDF, Epub, and Kindle

Computer science provides a powerful tool that was virtually unknown three generations ago. Some of the classical fields of knowledge are geodesy (surveying), cartography, and geography. Electronics have revolutionized geodetic methods. Cartography has faced the dominance of the computer that results in simplified cartographic products. All three fields make use of basic components such as the Internet and databases. The Springer Handbook of Geographic Information is organized in three parts, Basics, Geographic Information and Applications. Some parts of the basics belong to the larger field of computer science. However, the reader gets a comprehensive view on geographic information because the topics selected from computer science have a close relation to geographic information. The Springer Handbook of Geographic Information is written for scientists at universities and industry as well as advanced and PhD students.

• Author : Nikos Pelekis,Yannis Theodoridis
• Publisher : Springer
• Release Date : 2014-07-08
• Total pages : 300
• ISBN : 9781493903924
• File Size : 43,8 Mb
• Total Download : 394
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Download Mobility Data Management and Exploration in PDF, Epub, and Kindle

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. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, indexing, processing, analyzing and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are also covered. Theoretical presentation is smoothly interchanged with hands-on exercises and case studies involving an actual MOD engine. The authors are established experts who address both theoretical and practical dimensions of the field but also present valuable prototype software. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students studying database management, data mining and geographic information systems.

• Author : Reggiani, Aura,Schintler, Laurie A.,Czamanski, Danny,Patuelli, Roberto
• Publisher : Edward Elgar Publishing
• Release Date : 2021-12-14
• Total pages : 640
• ISBN : 9781839100598
• File Size : 21,5 Mb
• Total Download : 225
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Download Handbook on Entropy, Complexity and Spatial Dynamics in PDF, Epub, and Kindle

This ground-breaking Handbook presents a state-of-the-art exploration of entropy, complexity and spatial dynamics from fundamental theoretical, empirical and methodological perspectives. It considers how foundational theories can contribute to new advances, including novel modeling and empirical insights at different sectoral, spatial and temporal scales.

• Author : Dinesh P. Mehta,Sartaj Sahni
• Publisher : Taylor & Francis
• Release Date : 2018-02-21
• Total pages : 1120
• ISBN : 9781498701884
• File Size : 49,7 Mb
• Total Download : 919
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Download Handbook of Data Structures and Applications in PDF, Epub, and Kindle

The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition. The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.

• Author : Bhattacharyya, Siddhartha
• Publisher : IGI Global
• Release Date : 2015-11-03
• Total pages : 654
• ISBN : 9781466694750
• File Size : 51,7 Mb
• Total Download : 265
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Download Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications in PDF, Epub, and Kindle

Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent. The Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.

• Author : Carlos A. Mota Soares,Rayid Ghani
• Publisher : IOS Press
• Release Date : 2010
• Total pages : 196
• ISBN : 9781607506324
• File Size : 46,9 Mb
• Total Download : 878
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Download Data Mining for Business Applications in PDF, Epub, and Kindle

Data mining is already incorporated into the business processes in sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications.

• Author : Vincent G. Duffy
• Publisher : CRC Press
• Release Date : 2016-04-19
• Total pages : 1006
• ISBN : 9781420063523
• File Size : 28,6 Mb
• Total Download : 444
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Download Handbook of Digital Human Modeling in PDF, Epub, and Kindle

The rapid introduction of sophisticated computers, services, telecommunications systems, and manufacturing systems has caused a major shift in the way people use and work with technology. It is not surprising that computer-aided modeling has emerged as a promising method for ensuring products meet the requirements of the consumer. The Handbook of Digital Human Modeling provides comprehensive coverage of the theory, tools, and methods to effectively achieve this objective. The 56 chapters in this book, written by 113 contributing authorities from Canada, China, France, Germany, the Netherlands, Poland, Sweden, Taiwan, UK, and the US, provide a wealth of international knowledge and guidelines. They cover applications in advanced manufacturing, aerospace, automotive, data visualization and simulation, defense and military systems, design for impaired mobility, healthcare and medicine, information systems, and product design. The text elucidates tools to help evaluate product and work design while reducing the need for physical prototyping. Additional software and demonstration materials on the CRC Press web site include a never-before-released 220-page step-by-step UGS-Siemens JackTM help manual developed at Purdue University. The current gap between capability to correctly predict outcomes and set expectation for new and existing products and processes affects human-system performance, market acceptance, product safety, and satisfaction at work. The handbook provides the fundamental concepts and tools for digital human modeling and simulation with a focus on its foundations in human factors and ergonomics. The tools identified and made available in this handbook help reduce the need for physical prototyping. They enable engineers to quantify acceptability and risk in design in terms of the human factors and ergonomics.

• Author : Huddleston, R. J.,Jamieson, Thomas,James, Patrick
• Publisher : Edward Elgar Publishing
• Release Date : 2022-08-05
• Total pages : 801
• ISBN : 9781839101014
• File Size : 33,8 Mb
• Total Download : 363
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Download Handbook of Research Methods in International Relations in PDF, Epub, and Kindle

Drawing together international experts on research methods in International Relations (IR), this Handbook answers the complex practical questions for those approaching a new research topic for the first time. Innovative in its approach, it considers the art of IR research as well as the science, offering diverse perspectives on current research methods and emerging developments in the field.

• Author : McAuliffe, Marie
• Publisher : Edward Elgar Publishing
• Release Date : 2021-12-07
• Total pages : 464
• ISBN : 9781839100611
• File Size : 41,9 Mb
• Total Download : 138
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Download Research Handbook on International Migration and Digital Technology in PDF, Epub, and Kindle

This forward-looking Research Handbook showcases cutting-edge research on the relationship between international migration and digital technology. It sheds new light on the interlinkages between digitalisation and migration patterns and processes globally, capturing the latest research technologies and data sources. Featuring international migration in all facets from the migration of tech sector specialists through to refugee displacement, leading contributors offer strategic insights into the future of migration and mobility.

• Author : Ganapathi, Padmavathi,Shanmugapriya, D.
• Publisher : IGI Global
• Release Date : 2019-07-26
• Total pages : 482
• ISBN : 9781522596134
• File Size : 21,9 Mb
• Total Download : 686
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Download Handbook of Research on Machine and Deep Learning Applications for Cyber Security in PDF, Epub, and Kindle

As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

• Author : Bhuvan Unhelkar
• Publisher : CRC Press
• Release Date : 2009-06-25
• Total pages : 420
• ISBN : 1420078283
• File Size : 54,5 Mb
• Total Download : 110
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Download Mobile Enterprise Transition and Management in PDF, Epub, and Kindle

Coupled with the Internet, mobile technology is rapidly moving us from the information age into the age of boundless communication. However, the success of today’s cutting-edge mobile technologies will not be determined merely by their new features. Rather, the way in which you integrate these technologies into your day-to-day business operations that will determine their success or failure. While there is substantial literature on mobility and business transitions, this book not only brings the two together but also provides a formal process for transitioning your organization from a fix-wired electronic organization to an enhanced mobile enterprise with minimal disruptions to daily operations. Addressing the rapid evolution of global communications, Mobile Enterprise Transition and Management provides step-by-step guidance on how to configure, enact, and manage the process of integrating mobile technology within your organization. The mobile enterprise transition (MET) process presented considers input from the four significant dimensions of an organization economic, technical, process, and social making it a well-rounded and complete process. The Material Presented in This Book Forms the Basis of the Popular Workshop Designed and Led by a Leading Expert in the Field Based on extensive research, literature review, and practical experimentation in METs, this comprehensive text presents emerging best practices, exhaustive case studies, and examples of successful transitions. It also provides detailed references, and a glossary of key terms and commonly used acronyms. Whether you are an engineer, network manager, business manager, or other decision maker, this book will show you how to develop customized integration strategies that will set your enterprise on the path to achieving the competitive advantages today’s mobile innovations make possible.