Intelligent data analytics in busine...
International Conference on Data Analytics in Business and Marketing ((2022))

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  • Intelligent data analytics in business = select proceedings of ICDABM 2022 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Intelligent data analytics in business/ edited by Kiran Chaudhary, Mansaf Alam, Narayan C. Debnath.
    Reminder of title: select proceedings of ICDABM 2022 /
    remainder title: ICDABM 2022
    other author: Chaudhary, Kiran.
    corporate name: International Conference on Data Analytics in Business and Marketing
    Published: Singapore :Springer Nature Singapore : : 2023.,
    Description: viii, 194 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Chapter 1. Examining Socially Responsible Investing Behaviour of Individuals based on Expert Opinion using DEMATEL -- Chapter 2. Research on the Ecological Environment Evaluation of Technological Talents in the Shuangcheng Economic Circle of Chengdu Region -- Chapter 3. Current Landscape & Future Prospects of Community Healthcare Information System: A Conceptual study w.r.t Indian Healthcare -- Chapter 4. Fake News Detection Using Machine Learning -- Chapter 5. Status of basic Digital Tools Awareness among Women Vegetable Vendors and consequences-Hyderabad local markets -- Chapter 6. Influence of COVID-19 on Punjab Textile Industry -- Chapter 7. A New Transformation for Manufacturing Industries with Big Data Analytics and Industry 4.0 -- Chapter 8. Analysis for Detection in MANETs: Security Perspective -- Chapter 9. Exploring the Role of Business Intelligence Systems in IoT-Cloud Environment -- Chapter 10. Leading a Culturally Diverse Team in the Workplace -- Chapter 11. An Integrated Secure Blockchain and Deep Neural Network Framework for Better Agricultural Business Outcomes -- Chapter 12. ASCII Strip Based Novel Approach of Information Hiding in Frequency Domain -- Chapter 13. Investigating the Mediating Effect of EWOM While Exploring a Destination in Uttarakhand: A Tourist Perspective -- Chapter 14. Investigating the Factors that lead towards Intention to use Mobile commerce among Higher Education students -- Chapter 15. Strategic Plans for Market Campaign Using Machine Learning Algorithms -- Chapter 16. Gap Analysis of Electricity Demand and Supply in perspective of PROSUMERS of 5 KW Solar Rooftop Plants in Uttarakhand.
    Contained By: Springer Nature eBook
    Subject: Business - Congresses. - Data processing -
    Online resource: https://doi.org/10.1007/978-981-99-5358-5
    ISBN: 9789819953585
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