Big Data Innovations And Applications

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Big Data and Innovation in Tourism, Travel, and Hospitality

Marianna Sigala,Roya Rahimi,Mike Thelwall
Big Data and Innovation in Tourism Travel and Hospitality Book PDF

Author : Marianna Sigala,Roya Rahimi,Mike Thelwall
Publisher : Springer
Page : 223 pages
File Size : 52,9 Mb
Release : 2019-02-26
Category : Business & Economics
ISBN : 9789811363399

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Big Data and Innovation in Tourism, Travel, and Hospitality by Marianna Sigala,Roya Rahimi,Mike Thelwall Pdf

This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.

Innovative Applications of Big Data in the Railway Industry

Kohli, Shruti,Kumar, A.V. Senthil,Easton, John M.,Roberts, Clive
Innovative Applications of Big Data in the Railway Industry Book PDF

Author : Kohli, Shruti,Kumar, A.V. Senthil,Easton, John M.,Roberts, Clive
Publisher : IGI Global
Page : 395 pages
File Size : 50,6 Mb
Release : 2017-11-30
Category : Computers
ISBN : 9781522531777

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Innovative Applications of Big Data in the Railway Industry by Kohli, Shruti,Kumar, A.V. Senthil,Easton, John M.,Roberts, Clive Pdf

Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited. Innovative Applications of Big Data in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry. Featuring extensive coverage on relevant areas such as driver support systems, railway safety management, and obstacle detection, this publication is an ideal resource for transportation planners, engineers, policymakers, and graduate-level engineering students seeking current research on a specific application of big data and its effects on transportation.

Big Data Innovations and Applications

Muhammad Younas (Senior lecturer in computer science),Irfan Awan,Salima Benbernou
Big Data Innovations and Applications Book PDF

Author : Muhammad Younas (Senior lecturer in computer science),Irfan Awan,Salima Benbernou
Publisher : Unknown
Page : 217 pages
File Size : 49,5 Mb
Release : 2019
Category : Big data
ISBN : 3030273563

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Big Data Innovations and Applications by Muhammad Younas (Senior lecturer in computer science),Irfan Awan,Salima Benbernou Pdf

This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.

Innovations in Big Data Mining and Embedded Knowledge

Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain
Innovations in Big Data Mining and Embedded Knowledge Book PDF

Author : Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain
Publisher : Springer
Page : 276 pages
File Size : 46,6 Mb
Release : 2019-07-03
Category : Technology & Engineering
ISBN : 9783030159399

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Innovations in Big Data Mining and Embedded Knowledge by Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain Pdf

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies

Big Data Innovations and Applications

Muhammad Younas,Irfan Awan,Salima Benbernou
Big Data Innovations and Applications Book PDF

Author : Muhammad Younas,Irfan Awan,Salima Benbernou
Publisher : Springer
Page : 223 pages
File Size : 53,7 Mb
Release : 2019-08-19
Category : Computers
ISBN : 9783030273552

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Big Data Innovations and Applications by Muhammad Younas,Irfan Awan,Salima Benbernou Pdf

This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.

New Horizons for a Data-Driven Economy

José María Cavanillas,Edward Curry,Wolfgang Wahlster
New Horizons for a Data Driven Economy Book PDF

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 55,5 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

AI and Big Data’s Potential for Disruptive Innovation

Strydom, Moses,Buckley, Sheryl
AI and Big Data s Potential for Disruptive Innovation Book PDF

Author : Strydom, Moses,Buckley, Sheryl
Publisher : IGI Global
Page : 405 pages
File Size : 50,5 Mb
Release : 2019-09-27
Category : Computers
ISBN : 9781522596899

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AI and Big Data’s Potential for Disruptive Innovation by Strydom, Moses,Buckley, Sheryl Pdf

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Big Data Applications in Industry 4.0

P. Kaliraj,T. Devi
Big Data Applications in Industry 4 0 Book PDF

Author : P. Kaliraj,T. Devi
Publisher : CRC Press
Page : 446 pages
File Size : 45,5 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781000537666

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Big Data Applications in Industry 4.0 by P. Kaliraj,T. Devi Pdf

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Innovations in Computational Intelligence Big Data Analytics and Internet of Things Book PDF

Author : Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Publisher : IAP
Page : 385 pages
File Size : 41,8 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9798887305615

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Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi Pdf

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach Book PDF

Author : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publisher : Springer
Page : 307 pages
File Size : 42,9 Mb
Release : 2020-10-13
Category : Computers
ISBN : 3030552578

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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach by Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy Pdf

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Computation and Big Data for Transport

Pedro Diez,Pekka Neittaanmäki,Jacques Periaux,Tero Tuovinen,Jordi Pons-Prats
Computation and Big Data for Transport Book PDF

Author : Pedro Diez,Pekka Neittaanmäki,Jacques Periaux,Tero Tuovinen,Jordi Pons-Prats
Publisher : Springer Nature
Page : 252 pages
File Size : 49,5 Mb
Release : 2020-02-28
Category : Technology & Engineering
ISBN : 9783030377526

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Computation and Big Data for Transport by Pedro Diez,Pekka Neittaanmäki,Jacques Periaux,Tero Tuovinen,Jordi Pons-Prats Pdf

This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications. The book seeks to answer the question of how computational research in transport can provide innovative solutions to Green Transportation challenges identified in the ambitious Horizon 2020 program. In particular, the respective papers present the state of the art in transport modeling, simulation and optimization in the fields of maritime, aeronautics, automotive and logistics research. In addition, the content includes two white papers on transport challenges and prospects. Given its scope, the book will be of interest to students, researchers, engineers and practitioners whose work involves the implementation of Intelligent Transport Systems (ITS) software for the optimal use of roads, including safety and security, traffic and travel data, surface and air traffic management, and freight logistics.

Guide to Big Data Applications

S. Srinivasan
Guide to Big Data Applications Book PDF

Author : S. Srinivasan
Publisher : Springer
Page : 565 pages
File Size : 41,5 Mb
Release : 2017-05-25
Category : Technology & Engineering
ISBN : 9783319538174

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Guide to Big Data Applications by S. Srinivasan Pdf

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Applications of Big Data in Large- and Small-Scale Systems

Goundar, Sam,Rayani, Praveen Kumar
Applications of Big Data in Large and Small Scale Systems Book PDF

Author : Goundar, Sam,Rayani, Praveen Kumar
Publisher : IGI Global
Page : 377 pages
File Size : 48,7 Mb
Release : 2021-01-15
Category : Computers
ISBN : 9781799866756

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Applications of Big Data in Large- and Small-Scale Systems by Goundar, Sam,Rayani, Praveen Kumar Pdf

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

The Elements of Big Data Value

Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles
The Elements of Big Data Value Book PDF

Author : Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles
Publisher : Springer Nature
Page : 399 pages
File Size : 55,8 Mb
Release : 2021-08-01
Category : Computers
ISBN : 9783030681760

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The Elements of Big Data Value by Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles Pdf

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Data-Driven Innovation Big Data for Growth and Well-Being

OECD
Data Driven Innovation Big Data for Growth and Well Being Book PDF

Author : OECD
Publisher : OECD Publishing
Page : 456 pages
File Size : 46,8 Mb
Release : 2015-10-06
Category : Electronic
ISBN : 9789264229358

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Data-Driven Innovation Big Data for Growth and Well-Being by OECD Pdf

This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.