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AI and the revival of big data
~
Ayyalasomayajula, Madan Mohan Tito, (1977-)
AI and the revival of big data
Record Type:
Electronic resources : Monograph/item
Title/Author:
AI and the revival of big dataMadan Mohan Tito Ayyalasomayajula, editor.
remainder title:
Artificial intelligence and the revival of big data
other author:
Ayyalasomayajula, Madan Mohan Tito,
Published:
Hershey, Pennsylvania :IGI Global,2025.
Description:
1 online resource (xxii, 419 p.) :ill.
Subject:
Big data.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8472-5
ISBN:
9798369384749$q(ebook)
AI and the revival of big data
AI and the revival of big data
[electronic resource] /Artificial intelligence and the revival of big dataMadan Mohan Tito Ayyalasomayajula, editor. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxii, 419 p.) :ill.
Includes bibliographic references and index.
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.
"The primary aim of this book is to offer a thorough analysis of Big Data's trajectory, focusing on its resurgence through AI technologies. It provides relevant theoretical frameworks and up-to-date empirical research findings to illuminate the strategic role of Big Data at different levels of the information and knowledge society"--
Mode of access: World Wide Web.
ISBN: 9798369384749$q(ebook)Subjects--Topical Terms:
609582
Big data.
Subjects--Index Terms:
Artificial Intelligence (AI)Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA76.9.B45 / A527 2025eb
Dewey Class. No.: 005.7
AI and the revival of big data
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Madan Mohan Tito Ayyalasomayajula, editor.
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IGI Global,
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1 online resource (xxii, 419 p.) :
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ill.
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Includes bibliographic references and index.
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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.
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"The primary aim of this book is to offer a thorough analysis of Big Data's trajectory, focusing on its resurgence through AI technologies. It provides relevant theoretical frameworks and up-to-date empirical research findings to illuminate the strategic role of Big Data at different levels of the information and knowledge society"--
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Mode of access: World Wide Web.
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Big Data Ecosystems.
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Data Extraction.
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Data Infrastructure.
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Data Mining.
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Financial Malfeasance.
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Fiscal Ramification.
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Image Analysis.
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Load Distribution.
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Machine Learning (ML) Algorithms.
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Meta-Heuristics.
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Pharmaceutical Sciences.
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Process Optimization.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8472-5
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EB QA76.9.B45 A527 2025eb 2025
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8472-5
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