Big Data And Smart Digital Environment

Big Data And Smart Digital Environment Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Big Data And Smart Digital Environment book. This book definitely worth reading, it is an incredibly well-written.

Big Data and Smart Digital Environment

Yousef Farhaoui,Laila Moussaid
Big Data and Smart Digital Environment Book PDF

Author : Yousef Farhaoui,Laila Moussaid
Publisher : Springer
Page : 415 pages
File Size : 41,8 Mb
Release : 2019-02-21
Category : Technology & Engineering
ISBN : 9783030120481

Get Book

Big Data and Smart Digital Environment by Yousef Farhaoui,Laila Moussaid Pdf

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. Papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well as anyone interested in big data analysis and smart city.

Data Science and Big Data Analytics in Smart Environments

Marta Chinnici,Florin Pop,Catalin Negru
Data Science and Big Data Analytics in Smart Environments Book PDF

Author : Marta Chinnici,Florin Pop,Catalin Negru
Publisher : CRC Press
Page : 305 pages
File Size : 45,8 Mb
Release : 2021-07-28
Category : Computers
ISBN : 9781000386011

Get Book

Data Science and Big Data Analytics in Smart Environments by Marta Chinnici,Florin Pop,Catalin Negru Pdf

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment. Fundamental issues pertaining to smart environments (smart cities, ambient assisted leaving, smart houses, green houses, cyber physical systems, etc.) are reviewed. Most of the current efforts still do not adequately address the heterogeneity of different distributed systems, the interoperability between them, and the systems resilience. This book will primarily encompass practical approaches that promote research in all aspects of data processing, data analytics, data processing in different type of systems: Cluster Computing, Grid Computing, Peer-to-Peer, Cloud/Edge/Fog Computing, all involving elements of heterogeneity, having a large variety of tools and software to manage them. The main role of resource management techniques in this domain is to create the suitable frameworks for development of applications and deployment in smart environments, with respect to high performance. The book focuses on topics covering algorithms, architectures, management models, high performance computing techniques and large-scale distributed systems.

Big Data and Artificial Intelligence in Digital Finance

John Soldatos,Dimosthenis Kyriazis
Big Data and Artificial Intelligence in Digital Finance Book PDF

Author : John Soldatos,Dimosthenis Kyriazis
Publisher : Springer Nature
Page : 371 pages
File Size : 43,9 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 9783030945909

Get Book

Big Data and Artificial Intelligence in Digital Finance by John Soldatos,Dimosthenis Kyriazis Pdf

This open access book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. Introduces the latest advances in Big Data and AI in Digital Finance that enable scalable, effective, and real-time analytics; Explains the merits of Blockchain technology in digital finance, including applications beyond the blockbuster cryptocurrencies; Presents practical applications of cutting edge digital technologies in the digital finance sector; Illustrates the regulatory environment of the financial sector and presents technical solutions that boost compliance to applicable regulations; This book is open access, which means that you have free and unlimited access.

Big Data and Internet of Things: A Roadmap for Smart Environments

Nik Bessis,Ciprian Dobre
Big Data and Internet of Things A Roadmap for Smart Environments Book PDF

Author : Nik Bessis,Ciprian Dobre
Publisher : Springer
Page : 470 pages
File Size : 40,5 Mb
Release : 2014-03-11
Category : Technology & Engineering
ISBN : 9783319050294

Get Book

Big Data and Internet of Things: A Roadmap for Smart Environments by Nik Bessis,Ciprian Dobre Pdf

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

The Smart City in a Digital World

Vincent Mosco
The Smart City in a Digital World Book PDF

Author : Vincent Mosco
Publisher : Emerald Group Publishing
Page : 217 pages
File Size : 53,7 Mb
Release : 2019-08-28
Category : Language Arts & Disciplines
ISBN : 9781787691377

Get Book

The Smart City in a Digital World by Vincent Mosco Pdf

This book looks at what makes a city smart by describing, challenging, and offering democratic alternatives to the view that the answer begins and ends with technology. Drawing on worldwide case studies documenting the redevelopment of old and the creation of new cities, it provides an essential guide to the future of urban life in a digital world.

Big Data, Open Data and Data Development

Jean-Louis Monino,Soraya Sedkaoui
Big Data Open Data and Data Development Book PDF

Author : Jean-Louis Monino,Soraya Sedkaoui
Publisher : John Wiley & Sons
Page : 179 pages
File Size : 48,8 Mb
Release : 2016-03-28
Category : Technology & Engineering
ISBN : 9781848218802

Get Book

Big Data, Open Data and Data Development by Jean-Louis Monino,Soraya Sedkaoui Pdf

The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the planet. The number of Internet users in 2014 was 2.9 billion or 41% of the world population. The need for knowledge is becoming apparent in order to understand this multitude of data. We must educate, inform and train the masses. The development of related technologies, such as the advent of the Internet, social networks, "cloud-computing" (digital factories), has increased the available volumes of data. Currently, each individual creates, consumes, uses digital information: more than 3.4 million e-mails are sent worldwide every second, or 107,000 billion annually with 14,600 e-mails per year per person, but more than 70% are spam. Billions of pieces of content are shared on social networks such as Facebook, more than 2.46 million every minute. We spend more than 4.8 hours a day on the Internet using a computer, and 2.1 hours using a mobile. Data, this new ethereal manna from heaven, is produced in real time. It comes in a continuous stream from a multitude of sources which are generally heterogeneous. This accumulation of data of all types (audio, video, files, photos, etc.) generates new activities, the aim of which is to analyze this enormous mass of information. It is then necessary to adapt and try new approaches, new methods, new knowledge and new ways of working, resulting in new properties and new challenges since SEO logic must be created and implemented. At company level, this mass of data is difficult to manage. Its interpretation is primarily a challenge. This impacts those who are there to "manipulate" the mass and requires a specific infrastructure for creation, storage, processing, analysis and recovery. The biggest challenge lies in "the valuing of data" available in quantity, diversity and access speed.

Smart Cities

Negin Minaei
Smart Cities Book PDF

Author : Negin Minaei
Publisher : CRC Press
Page : 166 pages
File Size : 44,5 Mb
Release : 2022-03-22
Category : Nature
ISBN : 9781000552058

Get Book

Smart Cities by Negin Minaei Pdf

In the age of global climate change, society will require cities that are environmentally self-sufficient, able to withstand various environmental problems and recover quickly. It is interesting to note that many "smart" solutions for cities are leading to an unsustainable future, including further electrification, an increased dependence on the Internet, Internet of Things, Big Data, and Artificial Intelligence, and basically any technology that leads us to consume more electricity. This book examines critical topics in Smart Cities such as true sustainability and the resilience required for all cities. It explores sustainability issues in agriculture and the role of agri-technology for a sustainable future, including a city’s ability to locally produce food for its residents. Features: Discusses safety, security, data management, and privacy issues in Smart Cities Examines the various emerging forms of transportation infrastructure and new vehicle technology Considers how energy efficiency can be achieved through behavioral change through specific building operations Smart Cities: Critical Debates on Big Data, Urban Development and Social Environmental Sustainability brings awareness to professionals working in the fields of environmental, civil, and transportation engineering, urban planners, and political leaders about different environmental aspects of Smart Cities and refocuses attention on critical urban infrastructure that will be necessary to respond to future challenges including climate change, food insecurity, natural hazards, energy production, and resilience.

Thingalytics

Anonim
Thingalytics Book PDF

Author : Anonim
Publisher : Unknown
Page : 175 pages
File Size : 48,7 Mb
Release : 2015-03-05
Category : Electronic
ISBN : 0989756424

Get Book

Thingalytics by Anonim Pdf

Thingalytics by Dr. John Bates is the most powerful book written to date about the Internet of Things (IoT), showing businesses how to take advantage of the fast Big Data that flows from the digital planet. Thingalytics, a composite of "Things" and "Analytics," shows organizations how to use real-time analytics and algorithms to seize the opportunities that flow from IoT while simultaneously minimizing threats. The Internet of Things is changing the world. As each device--from tractors to refrigerators to ships--is digitized and connected to the Internet it presents a unique opportunity for innovative businesses to learn from, and take advantage of, the digital data it creates. Illustrated by real-life case studies from global, visionary organizations such as Coca-Cola, Greyhound Bus and Medtronic, Thingalytics highlights how the alchemy of real-time analytics and smart algorithms can help turn fast Big Data into actionable gold nuggets for any business, anywhere.Digital disruption to traditional "bricks-and-mortar" businesses is happening now. Organizations must transform themselves using digital technologies. Time does not stand still in this brave, new digital world. "Digital Darwinism is unkind to those who wait," says R "Ray" Wang, who has written the Forward to Thingalytics. Using real stories from some of the most tech-savvy retailers, banks, transportation and soft drink providers, Thingalytics delves into the world of analytics and algorithms to show the reader how to seize the opportunities buried within IoT. John Bates personally interviewed each of the people featured in this book. His deep knowledge of their vision, their businesses and their goals gives him the insight and the gravitas to explain how each organization is conquering the digital world. Pulling from exciting examples of real-life innovation and invention, John makes IoT come alive; from the exotic shops of Istanbul, Turkey, to tractors in a field in Iowa or a hospital operating room in Florida, Thingalytics depicts how IoT can make our lives happier, easier, more productive and even safer. Winners in the IoT race will not only profit but could--just possibly--avert disaster.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Internet of Things and Big Data Analytics Toward Next Generation Intelligence Book PDF

Author : Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Publisher : Springer
Page : 549 pages
File Size : 44,5 Mb
Release : 2017-08-14
Category : Technology & Engineering
ISBN : 9783319604350

Get Book

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence by Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy Pdf

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Big Data

Bernard Marr
Big Data Book PDF

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 262 pages
File Size : 44,9 Mb
Release : 2015-03-09
Category : Business & Economics
ISBN : 9781118965832

Get Book

Big Data by Bernard Marr Pdf

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

Data Science and Big Data: An Environment of Computational Intelligence

Witold Pedrycz,Shyi-Ming Chen
Data Science and Big Data An Environment of Computational Intelligence Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 303 pages
File Size : 43,5 Mb
Release : 2017-03-21
Category : Technology & Engineering
ISBN : 9783319534749

Get Book

Data Science and Big Data: An Environment of Computational Intelligence by Witold Pedrycz,Shyi-Ming Chen Pdf

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Big Data and Networks Technologies

Yousef Farhaoui
Big Data and Networks Technologies Book PDF

Author : Yousef Farhaoui
Publisher : Springer
Page : 372 pages
File Size : 41,5 Mb
Release : 2019-07-17
Category : Computers
ISBN : 9783030236724

Get Book

Big Data and Networks Technologies by Yousef Farhaoui Pdf

This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.

Modern Management Based on Big Data IV

A. J. Tallón-Ballesteros
Modern Management Based on Big Data IV Book PDF

Author : A. J. Tallón-Ballesteros
Publisher : Unknown
Page : 0 pages
File Size : 41,7 Mb
Release : 2023-08-23
Category : Electronic
ISBN : 1643684108

Get Book

Modern Management Based on Big Data IV by A. J. Tallón-Ballesteros Pdf

The concept of Big Data has become increasingly familiar in recent years, and it is already an indispensible tool in the management of everything from supply chains and transport to health and education.This book presents the proceedings of MMBD 2023, the 4th International Conference on Modern Management based on Big Data, held in Seoul, South Korea, from 1-4 August 2023. The 50 papers included here were selected from total of around 160 submissions after a rigorous review process. Papers delivered at the conference were divided into 3 main categories: Big Data, Modern Management, and a special session devoted to Big Data-driven manufacturing and service-industry supply-chain (SC) management, but in addition to these general topics, there were also a number of papers related to lifelong education. Topics covered in the book include innovation in online education management with big data; digital transformation in lifelong education; big data analysis in lifelong education management; green supply chain management; big data analytics in supply chains; policy and strategy for new energy and the environment; smart grid load and energy management; decision-making on sustainable transport policies; modern healthcare management; and social strategy to manage human relationships. Of particular interest are papers concerning big-data analysis and emerging applications.Presenting innovative original ideas and methods, together with significant results, and supported by clear and rigorous reasoning and compelling new evidence, the book will be of interest to all those who use Big Data to support their management strategies.

Too Smart

Jathan Sadowski
Too Smart Book PDF

Author : Jathan Sadowski
Publisher : MIT Press
Page : 253 pages
File Size : 43,8 Mb
Release : 2020-03-24
Category : Social Science
ISBN : 9780262538589

Get Book

Too Smart by Jathan Sadowski Pdf

Who benefits from smart technology? Whose interests are served when we trade our personal data for convenience and connectivity? Smart technology is everywhere: smart umbrellas that light up when rain is in the forecast; smart cars that relieve drivers of the drudgery of driving; smart toothbrushes that send your dental hygiene details to the cloud. Nothing is safe from smartification. In Too Smart, Jathan Sadowski looks at the proliferation of smart stuff in our lives and asks whether the tradeoff—exchanging our personal data for convenience and connectivity—is worth it. Who benefits from smart technology? Sadowski explains how data, once the purview of researchers and policy wonks, has become a form of capital. Smart technology, he argues, is driven by the dual imperatives of digital capitalism: extracting data from, and expanding control over, everything and everybody. He looks at three domains colonized by smart technologies' collection and control systems: the smart self, the smart home, and the smart city. The smart self involves more than self-tracking of steps walked and calories burned; it raises questions about what others do with our data and how they direct our behavior—whether or not we want them to. The smart home collects data about our habits that offer business a window into our domestic spaces. And the smart city, where these systems have space to grow, offers military-grade surveillance capabilities to local authorities. Technology gets smart from our data. We may enjoy the conveniences we get in return (the refrigerator says we're out of milk!), but, Sadowski argues, smart technology advances the interests of corporate technocratic power—and will continue to do so unless we demand oversight and ownership of our data.

Big Data

Maribel Yasmina Santos,Carlos Costa
Big Data Book PDF

Author : Maribel Yasmina Santos,Carlos Costa
Publisher : River Publishers Information S
Page : 0 pages
File Size : 52,5 Mb
Release : 2020-03-30
Category : Computers
ISBN : 8770221847

Get Book

Big Data by Maribel Yasmina Santos,Carlos Costa Pdf

Big Data is a concept of major relevance in today's world, sometimes highlighted as a key asset for productivity growth, innovation, and customer relationship, whose popularity has increased considerably during the last years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes. The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems. This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems.