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Paperback. Condition: new. Paperback. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four Vs of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.What You'll LearnUnderstand the problem concerning data veracity and its ramificationsDevelop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examplesUse diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issuesWho This Book Is ForSoftware developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 303184601X ISBN 13: 9783031846014
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Paperback. Condition: new. Paperback. This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 1314, 2024.The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning; Applications of Large Language Models; AI in Healthcare and Medical Imaging; AI for Disaster Management and Renewable Energy and Challenges and Ethical Considerations in AI. This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 1314, 2024.The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Paperback. Condition: new. Paperback. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four Vs of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.What You'll LearnUnderstand the problem concerning data veracity and its ramificationsDevelop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examplesUse diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issuesWho This Book Is ForSoftware developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Apress, Apress Jun 2018, 2018
ISBN 10: 1484236327 ISBN 13: 9781484236321
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Taschenbuch. Condition: Neu. Neuware -Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V¿s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 196 pp. Englisch.
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Published by Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
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Published by Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
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Condition: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
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Published by Springer-Nature New York Inc, 2025
ISBN 10: 303184601X ISBN 13: 9783031846014
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Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 303184601X ISBN 13: 9783031846014
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Paperback. Condition: new. Paperback. This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 1314, 2024.The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning; Applications of Large Language Models; AI in Healthcare and Medical Imaging; AI for Disaster Management and Renewable Energy and Challenges and Ethical Considerations in AI. This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 1314, 2024.The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 303184601X ISBN 13: 9783031846014
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 13-14, 2024.The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning;Applications of Large Language Models;AI in Healthcare and Medical Imaging;AI for Disaster Management and Renewable Energy andChallenges and Ethical Considerations in AI.
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Published by Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
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Published by Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
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Published by Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
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ISBN 10: 103276709X ISBN 13: 9781032767093
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