Browsing by Subject Big data

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  • 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
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  • 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


  • 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


  • 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.005456_TT_(Information Technology, Management and Operations Research Practices) Mohammed El Amine Abdelli, Nadia Mansour, Atilla Akbaba, Enric Se.pdf.jpg
  • Sách/Book


  • 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