Big Data Analytics for Cloud IoT and Cognitive Computing

Big Data Analytics for Cloud  IoT and Cognitive Computing
Author: Kai Hwang,Min Chen
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2017-03-17
ISBN: 1119247292
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics for Cloud IoT and Cognitive Computing Book Excerpt:

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Cloud Computing for Machine Learning and Cognitive Applications

Cloud Computing for Machine Learning and Cognitive Applications
Author: Kai Hwang
Publsiher: MIT Press
Total Pages: 624
Release: 2017-07-07
ISBN: 0262341123
Category: Computers
Language: EN, FR, DE, ES & NL

Cloud Computing for Machine Learning and Cognitive Applications Book Excerpt:

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.

Machine Learning for Decision Makers

Machine Learning for Decision Makers
Author: Patanjali Kashyap
Publsiher: Apress
Total Pages: 355
Release: 2018-01-04
ISBN: 1484229886
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning for Decision Makers Book Excerpt:

Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.

Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science

Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science
Author: Raj, Pethuru,Raman, Anupama
Publsiher: IGI Global
Total Pages: 440
Release: 2018-05-18
ISBN: 1522559736
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science Book Excerpt:

Fog computing is quickly increasing its applications and uses to the next level. As it continues to grow, different types of virtualization technologies can thrust this branch of computing further into mainstream use. The Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science is a key reference volume on the latest research on the role of next-generation systems and devices that are capable of self-learning and how those devices will impact society. Featuring wide-ranging coverage across a variety of relevant views and themes such as cognitive analytics, data mining algorithms, and the internet of things, this publication is ideally designed for programmers, IT professionals, students, researchers, and engineers looking for innovative research on software-defined cloud infrastructures and domain-specific analytics.

Research Anthology on Edge Computing Protocols Applications and Integration

Research Anthology on Edge Computing Protocols  Applications  and Integration
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 719
Release: 2022-04-01
ISBN: 1668457016
Category: Computers
Language: EN, FR, DE, ES & NL

Research Anthology on Edge Computing Protocols Applications and Integration Book Excerpt:

Edge computing is quickly becoming an important technology throughout a number of fields as businesses and industries alike embrace the benefits it can have in their companies. The streamlining of data is crucial for the development and evolution of businesses in order to keep up with competition and improve functions overall. In order to appropriately utilize edge computing to its full potential, further study is required to examine the potential pitfalls and opportunities of this innovative technology. The Research Anthology on Edge Computing Protocols, Applications, and Integration establishes critical research on the current uses, innovations, and challenges of edge computing across disciplines. The text highlights the history of edge computing and how it has been adapted over time to improve industries. Covering a range of topics such as bandwidth, data centers, and security, this major reference work is ideal for industry professionals, computer scientists, engineers, practitioners, researchers, academicians, scholars, instructors, and students.

Building Blocks for IoT Analytics

Building Blocks for IoT Analytics
Author: John Soldatos
Publsiher: River Publishers
Total Pages: 292
Release: 2016-11-23
ISBN: 8793519036
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Building Blocks for IoT Analytics Book Excerpt:

Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizations to process and fully leverage large amounts of IoT data, which are nowadays largely underutilized. The Building Blocks of IoT Analytics is devoted to the presentation the main technology building blocks that comprise advanced IoT analytics systems. It introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications. Special emphasis is paid in the presentation of technologies for IoT streaming and semantic interoperability across diverse IoT streams. Furthermore, the role of cloud computing and BigData technologies in IoT analytics are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building blocks of IoT analytics systems and applications, the book presents a series of practical applications, which illustrate the use of these technologies in the scope of pragmatic applications. Technical topics discussed in the book include: Cloud Computing and BigData for IoT analyticsSearching the Internet of ThingsDevelopment Tools for IoT Analytics ApplicationsIoT Analytics-as-a-ServiceSemantic Modelling and Reasoning for IoT AnalyticsIoT analytics for Smart BuildingsIoT analytics for Smart CitiesOperationalization of IoT analyticsEthical aspects of IoT analytics This book contains both research oriented and applied articles on IoT analytics, including several articles reflecting work undertaken in the scope of recent European Commission funded projects in the scope of the FP7 and H2020 programmes. These articles present results of these projects on IoT analytics platforms and applications. Even though several articles have been contributed by different authors, they are structured in a well thought order that facilitates the reader either to follow the evolution of the book or to focus on specific topics depending on his/her background and interest in IoT and IoT analytics technologies. The compilation of these articles in this edited volume has been largely motivated by the close collaboration of the co-authors in the scope of working groups and IoT events organized by the Internet-of-Things Research Cluster (IERC), which is currently a part of EU's Alliance for Internet of Things Innovation (AIOTI).

Challenges of the Internet of Things

Challenges of the Internet of Things
Author: Imad Saleh,Mehdi Ammi,Samuel Szoniecky
Publsiher: John Wiley & Sons
Total Pages: 274
Release: 2018-10-08
ISBN: 1119549582
Category: Computers
Language: EN, FR, DE, ES & NL

Challenges of the Internet of Things Book Excerpt:

This book will examine the issues of IoT according to three complementary axes: technique, use, ethics. The techniques used to produce artefacts (physical objects, infrastructures), programs (algorithms, software) and data (Big data, linked data, metadata, ontologies) are the subject of many innovations as the field of IoT is rich and stimulating. Along with this technological boom, IoT uses colonize new fields of application in the fields of transport, administration, housing, maintenance, health, sports, well-being. ... Privileged interface with digital ecosystems now at the heart of social exchanges, the IoT develops a power to act whose consequences both good and bad make it difficult to assess a fair business.

Cognitive Analytics Concepts Methodologies Tools and Applications

Cognitive Analytics  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1961
Release: 2020-03-06
ISBN: 1799824616
Category: Science
Language: EN, FR, DE, ES & NL

Cognitive Analytics Concepts Methodologies Tools and Applications Book Excerpt:

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.

Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT
Author: Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
Publsiher: John Wiley & Sons
Total Pages: 528
Release: 2021-07-14
ISBN: 1119785855
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning Approach for Cloud Data Analytics in IoT Book Excerpt:

Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Novel Practices and Trends in Grid and Cloud Computing

Novel Practices and Trends in Grid and Cloud Computing
Author: Raj, Pethuru,Koteeswaran, S.
Publsiher: IGI Global
Total Pages: 374
Release: 2019-06-28
ISBN: 1522590250
Category: Computers
Language: EN, FR, DE, ES & NL

Novel Practices and Trends in Grid and Cloud Computing Book Excerpt:

Business and IT organizations are currently embracing new strategically sound concepts in order to be more customer-centric, competitive, and cognitive in their daily operations. While useful, the various software tools, pioneering technologies, as well as their unique contributions largely go unused due to the lack of information provided on their special characteristics. Novel Practices and Trends in Grid and Cloud Computing is a collection of innovative research on the key concerns of cloud computing and how they are being addressed, as well as the various technologies and tools empowering cloud theory to be participative, penetrative, pervasive, and persuasive. While highlighting topics including cyber security, smart technology, and artificial intelligence, this book is ideally designed for students, researchers, and business managers on the lookout for innovative IT solutions for all the business automation software and improvisations of computational technologies.

Analyzing Future Applications of AI Sensors and Robotics in Society

Analyzing Future Applications of AI  Sensors  and Robotics in Society
Author: Musiolik, Thomas Heinrich,Cheok, Adrian David
Publsiher: IGI Global
Total Pages: 335
Release: 2020-09-11
ISBN: 1799835014
Category: Computers
Language: EN, FR, DE, ES & NL

Analyzing Future Applications of AI Sensors and Robotics in Society Book Excerpt:

The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.

Cognitive Computing ICCC 2018

Cognitive Computing     ICCC 2018
Author: Jing Xiao,Zhi-Hong Mao,Toyotaro Suzumura,Liang-Jie Zhang
Publsiher: Springer
Total Pages: 187
Release: 2018-06-19
ISBN: 3319943073
Category: Computers
Language: EN, FR, DE, ES & NL

Cognitive Computing ICCC 2018 Book Excerpt:

This book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2018, held as part of SCF 2018, in Seattle, WA, USA, in June 2018. The 15 papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of Sensing Intelligence (SI) as a Service (SIaaS). Cognitive Computing is a sensing-driven computing (SDC) schema that explores and integrates intelligence from all types of senses in various scenarios and solution contexts.

Hands On Machine Learning with Azure

Hands On Machine Learning with Azure
Author: Thomas K Abraham,Parashar Shah,Jen Stirrup,Lauri Lehman,Anindita Basak
Publsiher: Packt Publishing Ltd
Total Pages: 340
Release: 2018-10-31
ISBN: 1789130271
Category: Computers
Language: EN, FR, DE, ES & NL

Hands On Machine Learning with Azure Book Excerpt:

Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key FeaturesLearn advanced concepts in Azure ML and the Cortana Intelligence Suite architectureExplore ML Server using SQL Server and HDInsight capabilitiesImplement various tools in Azure to build and deploy machine learning modelsBook Description Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models. What you will learnDiscover the benefits of leveraging the cloud for ML and AIUse Cognitive Services APIs to build intelligent botsBuild a model using canned algorithms from Microsoft and deploy it as a web serviceDeploy virtual machines in AI development scenariosApply R, Python, SQL Server, and Spark in AzureBuild and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlowImplement model retraining in IoT, Streaming, and Blockchain solutionsExplore best practices for integrating ML and AI functions with ADLA and logic appsWho this book is for If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You’ll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book

Next Generation Information Processing System

Next Generation Information Processing System
Author: Prachi Deshpande,Ajith Abraham,Brijesh Iyer,Kun Ma
Publsiher: Springer Nature
Total Pages: 344
Release: 2020-06-13
ISBN: 981154851X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Next Generation Information Processing System Book Excerpt:

This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP], a flagship event in the area of engineering and emerging next-generation technologies jointly organized by the Dr. Babasaheb Ambedkar Technological University and MGM’s College of Engineering in Nanded, India, on 9-11 January 2020. Focusing on next-generation information processing systems, this second volume of the proceedings includes papers on cloud computing and information systems, artificial intelligence and the Internet of Things, hardware design and communication, and front-end design.

The Internet of Things

The Internet of Things
Author: Ricardo Armentano,Robin Singh Bhadoria,Parag Chatterjee,Ganesh Chandra Deka
Publsiher: CRC Press
Total Pages: 472
Release: 2017-10-16
ISBN: 149878903X
Category: Mathematics
Language: EN, FR, DE, ES & NL

The Internet of Things Book Excerpt:

This book provides a dual perspective on the Internet of Things and ubiquitous computing, along with their applications in healthcare and smart cities. It also covers other interdisciplinary aspects of the Internet of Things like big data, embedded Systems and wireless Sensor Networks. Detailed coverage of the underlying architecture, framework, and state-of the art methodologies form the core of the book.

Audacity of Automation

Audacity of Automation
Author: Osei Badu-Nkansah
Publsiher: Dorrance Publishing
Total Pages: 383
Release: 2018-06-18
ISBN: 1480958484
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Audacity of Automation Book Excerpt:

Audacity of Automation By: Osei Badu-Nkansah The advancements in Technology, coupled with breakthrough in Telecommunication (referencing the latest Long-Term Evolution (LTE) 4G Wireless Broadband), have converged to open many doors for true Automation and Digitization. Having deployed these for many companies, author Osei Badu-Nkansah came to the realization that the benefits of true Automation can help advance the development of the third world countries, especially those in Africa. Having travelled and worked in many African countries (the bulk of the third world), the dreadful question he has is “How long can the third world and hence Africa remain behind in Technology? How long?” These and many more prompted the need for Osei to share the narratives in this book, assembled from many years of experience as a Certified IT Architect.

First International Conference on Artificial Intelligence and Cognitive Computing

First International Conference on Artificial Intelligence and Cognitive Computing
Author: Raju Surampudi Bapi,Koppula Srinivas Rao,Munaga V. N. K. Prasad
Publsiher: Springer
Total Pages: 716
Release: 2018-11-04
ISBN: 9811315809
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

First International Conference on Artificial Intelligence and Cognitive Computing Book Excerpt:

This book presents original research works by researchers, engineers and practitioners in the field of artificial intelligence and cognitive computing. The book is divided into two parts, the first of which focuses on artificial intelligence (AI), knowledge representation, planning, learning, scheduling, perception-reactive AI systems, evolutionary computing and other topics related to intelligent systems and computational intelligence. In turn, the second part focuses on cognitive computing, cognitive science and cognitive informatics. It also discusses applications of cognitive computing in medical informatics, structural health monitoring, computational intelligence, intelligent control systems, bio-informatics, smart manufacturing, smart grids, image/video processing, video analytics, medical image and signal processing, and knowledge engineering, as well as related applications.

Digital Rebirth

Digital Rebirth
Author: Marius Leibold,Sven C. Voelpel
Publsiher: John Wiley & Sons
Total Pages: 223
Release: 2018-07-11
ISBN: 3895787361
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Digital Rebirth Book Excerpt:

Digital Rebirth transcends digital transformation. It involves a revolutionary reinventing of the purpose, nature and processes of a company, with accompanying digital business and technological platforms. This book presents a clear framework for practical digital rebirth of companies, contrasting it to prevalent "digital transformation" approaches. Aimed at large and medium-sized companies, as well as their subcontractors and service providers, but also at budding entrepreneurs, it should be read and used by company boards, executives, managers, startup leaders and business consultants.. - In every section of the book you will find proven concepts of Digital Rebirth, digital reinvention, collaborative digital practices, combinatorial technologies, digital platforms, digital ecosystems and pointers how to move from obsolete mindsets and left-over baggage to reinvented digitalization minds and processes. - It shows clearly how some major companies have digitally rebirthed themselves - or are in the process of it - to be or to become a leading player in the digital economy. - Company (and industry) illustrations are accompanied by descriptions of Digital Rebirth approaches, methodologies and practical tools. - The book's content is ideal for use in company workshops and executive sessions, as well as business leadership mindset sessions, and has been validated in such activities by the authors, including boards of highly renowned companies on all continents. - At the end of the book, the unique approach of Digital Rebirth is condensed into a framework of five digital drivers, to assist in the right activities for purposeful and successful company rebirth. The concept of Digital Rebirth shows clearly that, in the light of recent developments like Internet of Things, Artificial Intelligence, Industry 4.0 and Cloud-based Services, well-established traditional industry and competitive models are not any longer satisfactory to understanding and dealing with digital realities.

Blockchain Big Data and Machine Learning

Blockchain  Big Data and Machine Learning
Author: Neeraj Kumar,N. Gayathri,Md Arafatur Rahman,B. Balamurugan
Publsiher: CRC Press
Total Pages: 384
Release: 2020-08-13
ISBN: 1000163512
Category: Computers
Language: EN, FR, DE, ES & NL

Blockchain Big Data and Machine Learning Book Excerpt:

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.

Big Data Analytics for Healthcare

Big Data Analytics for Healthcare
Author: Pantea Keikhosrokiani
Publsiher: Academic Press
Total Pages: 354
Release: 2022-05-19
ISBN: 0323985165
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Big Data Analytics for Healthcare Book Excerpt:

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems