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ISBN 10: 3031730674 ISBN 13: 9783031730672
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Paperback. Condition: new. Paperback. This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 1718, 2023.The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning.Part II- artificial intelligence and data analytics; machine learning. This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 1718, 2023.The 51 full papers presented were carefully reviewed and selected from 183 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17-18, 2023.The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:Part I- artificial intelligence and data analytics; deep learning.Part II- artificial intelligence and data analytics; machine learning.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17-18, 2023.The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:Part I- artificial intelligence and data analytics; deep learning.Part II- artificial intelligence and data analytics; machine learning.
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Taschenbuch. Condition: Neu. Neuware -This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17¿18, 2023.The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:Part I- artificial intelligence and data analytics; deep learning.Part II- artificial intelligence and data analytics; machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.
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Taschenbuch. Condition: Neu. Advances in Artificial Intelligence and Machine Learning in Big Data Processing | Second International Conference, AAIMB 2024, Chennai, India, December 12-13, 2024, Proceedings, Part II | Geetha Ramachandran (u. a.) | Taschenbuch | xvi | Englisch | 2026 | Springer | EAN 9783032130280 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-set volume CCIS 2653 and 2654 constitutes the refereed proceedings of the Second International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2024, held in Chennai, India, during December 12 13, 2024.The 59 full papers included in this book were carefully reviewed and selected from 434 submissions. The papers are organized in the following topical sections:Part I: artificial intelligence and data analytics; machine learning.Part II: artificial intelligence and data analytics; deep learning.
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Published by Springer, Palgrave Macmillan, 2026
ISBN 10: 3032130255 ISBN 13: 9783032130259
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-set volume CCIS 2653 and 2654 constitutes the refereed proceedings of the Second International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2024, held in Chennai, India, during December 12 13, 2024.The 59 full papers included in this book were carefully reviewed and selected from 434 submissions. The papers are organized in the following topical sections:Part I: artificial intelligence and data analytics; machine learning.Part II: artificial intelligence and data analytics; deep learning.
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Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811689296 ISBN 13: 9789811689291
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Hardcover. Condition: new. Hardcover. This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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