BROWSE

Author Profile

TOPIC

    NUMBER OF VISITS

    Browsing by Subject Big data

    Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
    or enter first few letters:  
    Showing results 1 to 7 of 7
    • TVS.000500_TT_Govind P. Gupta (editor), Rakesh Tripathi (editor), Brij B. Gupta (editor), Kwok Tai Chui (editor) - Big Data Analytics in Fog-Enabled I.pdf.jpg
    • Sách/Book

    • Big data analytics in fog-enabled IoT networks : towards a privacy and security perspective

      • Authors: Gupta, Govind P (2023)

    • This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.
    • TVS.004936_TT_(Advances in Marketing, Customer Relationship Management, and E-Services) Jose Ramon Saura - Big Data Marketing Strategies for Superior.pdf.jpg
    • Sách/Book

    • Big data marketing strategies for superior customer experience

      • Authors: Saura, Jose Ramon (2023)

    • The rapid growth of technological developments on the Internet has led many companies to adapt their business to the digital ecosystem and implement new methods and techniques not only to improve the users' experience but also to improve their analytical strategies. What is more, due to the accelerated interconnected world, the amount of information shared on the Internet has widely increased, hence, this allows companies to gather useful data so they can obtain a competitive advantage from it
    • TVS.005483_TT_Jesus Barrasa, Maya Natarajan, Jim Webber - Building Knowledge Graphs_ A Practitioner’s Guide (6th Early Release)-O_Reilly Media, Inc. (.pdf.jpg
    • Sách/Book

    • Building Knowledge Graphs: A Practitioner’s Guide

      • Authors: Barrasa, Jesus (2023)

    • This practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesus Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today's pressing knowledge management problems. You'll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning.
    • TVS.000504_TT_ Adi Polak - Scaling Machine Learning with Spark_ Distributed ML with MLlib, TensorFlow, and PyTorch-O_Reilly Media (2023).pdf.jpg
    • Sách/Book

    • Scaling machine learning with Spark : distributed ML with MLlib, TensorFlow, and PyTorch

      • Authors: Polak, Adi (2023)

    • Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better.
    • TVS.005456_TT_(Information Technology, Management and Operations Research Practices) Mohammed El Amine Abdelli, Nadia Mansour, Atilla Akbaba, Enric Se.pdf.jpg
    • Sách/Book

    • Sustainability, big data, and corporate social responsibility : evidence from the tourism industry

      • Authors: Abdelli, Mohammed El Amine (2022)

    • This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector