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Published by World Scientific Publishing Comp, 2004
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ISBN 10: 9813228032 ISBN 13: 9789813228030
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Published by World Scientific Publishing Company, 2004
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Published by World Scientific Publishing Company, 2004
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Published by World Scientific Publishing Company, 2004
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Published by World Scientific Publishing Company, 2004
ISBN 10: 9812382909 ISBN 13: 9789812382900
Language: English
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Published by World Scientific Publishing Company, 2004
ISBN 10: 9812382909 ISBN 13: 9789812382900
Language: English
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Published by World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813228032 ISBN 13: 9789813228030
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Published by World Scientific Publishing Co Pte Ltd, 2018
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Published by World Scientific Publishing Company, 2004
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Language: English
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Published by World Scientific Publishing Co Pte Ltd, 2018
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Published by World Scientific Publishing Co Pte Ltd, 2018
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ISBN 10: 9813228032 ISBN 13: 9789813228030
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Hardcover. Condition: new. Hardcover. This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining.The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 9813228032 ISBN 13: 9789813228030
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ISBN 10: 9813228032 ISBN 13: 9789813228030
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Published by World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813228032 ISBN 13: 9789813228030
Language: English
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ISBN 10: 9813228032 ISBN 13: 9789813228030
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Published by World Scientific Publishing Company, 2004
ISBN 10: 9812382909 ISBN 13: 9789812382900
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Published by World Scientific Publishing Co Pte Ltd, Singapore, 2018
ISBN 10: 9813228032 ISBN 13: 9789813228030
Language: English
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Hardcover. Condition: new. Hardcover. This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining.The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest .
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining.The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic.