AI and the revival of big data
Ayyalasomayajula, Madan Mohan Tito, (1977-)

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  • AI and the revival of big data
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: AI and the revival of big data/ Madan Mohan Tito Ayyalasomayajula, editor.
    其他題名: Artificial intelligence and the revival of big data
    其他作者: Ayyalasomayajula, Madan Mohan Tito,
    出版者: Hershey, Pennsylvania :IGI Global, : 2025.,
    面頁冊數: 1 online resource (xxii, 419 p.) :ill.
    內容註: Preface -- Chapter 1. The Dawn of Big Data: Origins and Early Promise of Big Data -- Chapter 2. Big Data Revolution: Idea - Development - Consequences -- Chapter 3. Hype vs. Reality: Unmet Expectations in Big Data Projects -- Chapter 4. Technical Challenges in Scaling Data Infrastructure -- Chapter 5. Review on Big Data Analytics Applications -- Chapter 6. Shaping the Future: Emerging Trends and Strategic Predictions in Big Data and AI -- Chapter 7. Optimizing AI Through Data Mining and Statistical Tools for Enhanced Model Performance -- Chapter 8. Optimizing Load Distribution in Big Data Ecosystems: A Comprehensive Survey -- Chapter 9. Swarm Intelligence and Meta-Heuristics for Enhanced Optimization inBig Data Analytics -- Chapter 10. Resuming Transfer Technique for Two-Level Sharding Point of Rupture for a Single Table -- Chapter 11. Quantifying the Fiscal Ramifications of Big Data Integration in Service Organisations: Mitigation of Financial Malfeasance -- Chapter 12. Big Universe, Big Data Machine Learning, and Image Analysis for Astronomy -- Chapter 13. Artificial Intelligence, Machine Learning, and the Revival of Big Data in Pharmaceutical Sciences: Revolutionizing Drug Discovery, Process Optimization -- Chapter 14. AI-Based Automated Disease Detection Based on Symptoms Healthcare for Pets and Birds -- Chapter 15. Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer Treatment -- Compilation of References -- About the Contributors -- Index.
    標題: Big data. -
    電子資源: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8472-5
    ISBN: 9798369384749
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