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Add to basketHardcover. Condition: New. ISBN:9788119105649.
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844393870 ISBN 13: 9783844393873
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -The exponential growth of the Web in terms of Web sites and their users during the past decade has generated huge amount of data related to the user¿s interactions with the Web sites. This data is recorded in the Web access log files of Web servers and usually referred as Web Usage Data (WUD). Knowledge Discovery from Web Usage Data (KDWUD) is that area of Web mining which deals with the application of data mining techniques to extract interesting knowledge from the WUD. As Web sites continue to grow in size and complexity, the results of KDWUD have become very critical for efficient and effective management of the activities related to e- business, e-education, e-commerce, personalization, Web site design and management, network traffic analysis, the cache, the proxies, great diversity of Web pages in a site, search engine¿s complexity, and to predict user¿s actions. Nevertheless, understanding the needs of their users is vital for the owners of the Web sites in order to serve them better. This book covers three main stages of knowledge discovery ¿ Preprocessing of raw WUD, Pattern Discovery and Pattern Analysis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch.
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Hardcover. Condition: new. Hardcover. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applicationsCovers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applicationsDescribes how various methods are used to extract higher- level information from IoT- generated dataPresents the latest technologies and research findings on IoT for smart applicationsFocuses on how machine learning algorithms are used in various real- world smart applications and engineering problemsIt is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically Machine learning-as-a-Service (MLaaS) to realize IoT to its full potential. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applicationsCovers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applicationsDescribes how various methods are used to extract higher- level information from IoT- generated dataPresents the latest technologies and research findings on IoT for smart applicationsFocuses on how machine learning algorithms are used in various real- world smart applications and engineering problemsIt is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically Machine learning-as-a-Service (MLaaS) to realize IoT to its full potential. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applicationsCovers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applicationsDescribes how various methods are used to extract higher- level information from IoT- generated dataPresents the latest technologies and research findings on IoT for smart applicationsFocuses on how machine learning algorithms are used in various real- world smart applications and engineering problemsIt is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically Machine learning-as-a-Service (MLaaS) to realize IoT to its full potential. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.