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xvi, 370 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Published by Singapore, Springer., 2018
ISBN 10: 9811085684 ISBN 13: 9789811085680
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XII, 380 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Intelligent Systems and Computing. Volume 705. Sprache: Englisch.
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Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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Published by Medical Info Science Reference, 2020
ISBN 10: 1799827429 ISBN 13: 9781799827429
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Condition: acceptable. This copy may contain significant wear, including bending, heavy writing, tears, and or water damage. This book is a functional copy, not necessarily a beautiful copy. Copy may have loose pages. May not include access codes or CDs. May be an Ex library book with stickers and stamps. Dustjacket may be missing.
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
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Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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hardcover. Condition: New. BRAND NEWOver 1,000,000 satisfied customers since 1997! Choose expedited shipping (if available) for much faster delivery. Delivery confirmation on all US orders.
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Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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Published by Chapman and Hall/CRC, 2016
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Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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Published by Springer International Publishing AG, Cham, 2024
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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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Add to basketPaperback. Condition: Brand New. reprint edition. 744 pages. 10.00x7.00x1.75 inches. In Stock.
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Published by Springer Nature Singapore, 2023
ISBN 10: 9811689326 ISBN 13: 9789811689321
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Add to basketCondition: 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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