Handbook Of Mobility Data Mining Volume 3

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Handbook of Mobility Data Mining, Volume 3

Author : Haoran Zhang
Publisher : Elsevier
Page : 244 pages
File Size : 47,7 Mb
Release : 2023-01-29
Category : Business & Economics
ISBN : 9780443184239

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Handbook of Mobility Data Mining, Volume 3 by Haoran Zhang Pdf

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 2

Author : Haoran Zhang
Publisher : Elsevier
Page : 212 pages
File Size : 53,7 Mb
Release : 2023-01-29
Category : Business & Economics
ISBN : 9780443184253

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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

Handbook of Mobility Data Mining, Volume 1

Author : Haoran Zhang
Publisher : Elsevier
Page : 224 pages
File Size : 41,9 Mb
Release : 2023-01-29
Category : Business & Economics
ISBN : 9780443184291

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Handbook of Mobility Data Mining, Volume 1 by Haoran Zhang Pdf

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

Mobility Data

Author : Chiara Renso,Stefano Spaccapietra,Esteban Zimányi
Publisher : Cambridge University Press
Page : 393 pages
File Size : 52,5 Mb
Release : 2013-10-14
Category : Computers
ISBN : 9781107292369

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Mobility Data by Chiara Renso,Stefano Spaccapietra,Esteban Zimányi Pdf

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 applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.

Handbook on Artificial Intelligence and Transport

Author : Hussein Dia
Publisher : Edward Elgar Publishing
Page : 649 pages
File Size : 53,7 Mb
Release : 2023-10-06
Category : Computers
ISBN : 9781803929545

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Handbook on Artificial Intelligence and Transport by Hussein Dia Pdf

With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.

Computational Intelligence in Data Mining - Volume 3

Author : Lakhmi C. Jain,Himansu Sekhar Behera,Jyotsna Kumar Mandal,Durga Prasad Mohapatra
Publisher : Springer
Page : 717 pages
File Size : 41,8 Mb
Release : 2014-12-11
Category : Technology & Engineering
ISBN : 9788132222026

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Computational Intelligence in Data Mining - Volume 3 by Lakhmi C. Jain,Himansu Sekhar Behera,Jyotsna Kumar Mandal,Durga Prasad Mohapatra Pdf

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Collaborative Assistive Robot for Mobility Enhancement (CARMEN)

Author : Cristina Urdiales
Publisher : Springer Science & Business Media
Page : 236 pages
File Size : 53,5 Mb
Release : 2012-02-16
Category : Technology & Engineering
ISBN : 9783642249020

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Collaborative Assistive Robot for Mobility Enhancement (CARMEN) by Cristina Urdiales Pdf

In nowadays aging society, many people require mobility assistance. Sometimes, assistive devices need a certain degree of autonomy when users' disabilities difficult manual control. However, clinicians report that excessive assistance may lead to loss of residual skills and frustration. Shared control focuses on deciding when users need help and providing it. Collaborative control aims at giving just the right amount of help in a transparent, seamless way. This book presents the collaborative control paradigm. User performance may be indicative of physical/cognitive condition, so it is used to decide how much help is needed. Besides, collaborative control integrates machine and user commands so that people contribute to self-motion at all times. Collaborative control was extensively tested for 3 years using a robotized wheelchair at a rehabilitation hospital in Rome with volunteer inpatients presenting different disabilities, ranging from mild to severe. We also present a taxonomy of common metrics for wheelchair navigation and tests are evaluated accordingly. Obtained results are coherent both from a quantitative and qualitative point of view.

Springer Handbook of Geographic Information

Author : Wolfgang Kresse,David M. Danko
Publisher : Springer Science & Business Media
Page : 1132 pages
File Size : 44,6 Mb
Release : 2012-02-21
Category : Science
ISBN : 9783540726807

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Springer Handbook of Geographic Information by Wolfgang Kresse,David M. Danko Pdf

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.

Handbook on Decision Making

Author : Jie Lu,Lakhmi C Jain,Guangquan Zhang
Publisher : Springer Science & Business Media
Page : 454 pages
File Size : 48,9 Mb
Release : 2012-03-15
Category : Technology & Engineering
ISBN : 9783642257551

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Handbook on Decision Making by Jie Lu,Lakhmi C Jain,Guangquan Zhang Pdf

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.

Mobility, Data Mining and Privacy

Author : Fosca Giannotti,Dino Pedreschi
Publisher : Springer Science & Business Media
Page : 410 pages
File Size : 51,7 Mb
Release : 2008-01-12
Category : Computers
ISBN : 9783540751779

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Mobility, Data Mining and Privacy by Fosca Giannotti,Dino Pedreschi Pdf

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.

Decision Making with Imperfect Decision Makers

Author : Tatiana Valentine Guy,Miroslav Kárný,David H. Wolpert
Publisher : Springer Science & Business Media
Page : 195 pages
File Size : 53,8 Mb
Release : 2011-11-13
Category : Technology & Engineering
ISBN : 9783642246470

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Decision Making with Imperfect Decision Makers by Tatiana Valentine Guy,Miroslav Kárný,David H. Wolpert Pdf

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research. Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker? Does the answer change for a system of imperfect decision makers? Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues?

Design for Information

Author : Isabel Meirelles
Publisher : Rockport Publishers
Page : 226 pages
File Size : 42,7 Mb
Release : 2013-10-01
Category : Design
ISBN : 9781610589482

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Design for Information by Isabel Meirelles Pdf

The visualization process doesn’t happen in a vacuum; it is grounded in principles and methodologies of design, cognition, perception, and human-computer-interaction that are combined to one’s personal knowledge and creative experiences. Design for Information critically examines other design solutions —current and historic— helping you gain a larger understanding of how to solve specific problems. This book is designed to help you foster the development of a repertoire of existing methods and concepts to help you overcome design problems. Learn the ins and outs of data visualization with this informative book that provides you with a series of current visualization case studies. The visualizations discussed are analyzed for their design principles and methods, giving you valuable critical and analytical tools to further develop your design process. The case study format of this book is perfect for discussing the histories, theories and best practices in the field through real-world, effective visualizations. The selection represents a fraction of effective visualizations that we encounter in this burgeoning field, allowing you the opportunity to extend your study to other solutions in your specific field(s) of practice. This book is also helpful to students in other disciplines who are involved with visualizing information, such as those in the digital humanities and most of the sciences.

Industrial Applications of Evolutionary Algorithms

Author : Ernesto Sanchez,Giovanni Squillero,Alberto Tonda
Publisher : Springer Science & Business Media
Page : 130 pages
File Size : 55,5 Mb
Release : 2012-01-28
Category : Technology & Engineering
ISBN : 9783642274671

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Industrial Applications of Evolutionary Algorithms by Ernesto Sanchez,Giovanni Squillero,Alberto Tonda Pdf

"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems. The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject. After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation. The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading.

Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing

Author : Hime Aguiar e Oliveira Junior,Lester Ingber,Antonio Petraglia,Mariane Rembold Petraglia,Maria Augusta Soares Machado
Publisher : Springer Science & Business Media
Page : 210 pages
File Size : 54,6 Mb
Release : 2012-01-26
Category : Technology & Engineering
ISBN : 9783642274794

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Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing by Hime Aguiar e Oliveira Junior,Lester Ingber,Antonio Petraglia,Mariane Rembold Petraglia,Maria Augusta Soares Machado Pdf

Stochastic global optimization is a very important subject, that has applications in virtually all areas of science and technology. Therefore there is nothing more opportune than writing a book about a successful and mature algorithm that turned out to be a good tool in solving difficult problems. Here we present some techniques for solving several problems by means of Fuzzy Adaptive Simulated Annealing (Fuzzy ASA), a fuzzy-controlled version of ASA, and by ASA itself. ASA is a sophisticated global optimization algorithm that is based upon ideas of the simulated annealing paradigm, coded in the C programming language and developed to statistically find the best global fit of a nonlinear constrained, non-convex cost function over a multi-dimensional space. By presenting detailed examples of its application we want to stimulate the reader’s intuition and make the use of Fuzzy ASA (or regular ASA) easier for everyone wishing to use these tools to solve problems. We kept formal mathematical requirements to a minimum and focused on continuous problems, although ASA is able to handle discrete optimization tasks as well. This book can be used by researchers and practitioners in engineering and industry, in courses on optimization for advanced undergraduate and graduate levels, and also for self-study.