Big Data Analytics: Methods and Applications - Hardcover
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“The editors of this volume have assembled 13 papers by big data experts who participated in that conference, covering analytics and algorithms, benchmarks, use cases, problem statements, and solutions. ... The book could serve as supplemental recommended reading for graduate data analytics courses ... .” (Harry J. Foxwell, Computing Reviews, April, 2017)
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This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.
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- VerlagSpringer
- Erscheinungsdatum2016
- ISBN 10 8132236262
- ISBN 13 9788132236269
- EinbandTapa dura
- Auflage1
- Anzahl der Seiten290
- HerausgeberPyne Saumyadipta, Rao B.L.S. Prakasa, Rao S.B.
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Big Data Analytics : Methods and Applications
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Buchbeschreibung Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with adetailed overview of the field of Big Data Analytics as it is practiced today. The chapterscover technical aspects of key areasthat generate and useBig Data such as management andfinance; medicine andhealthcare; genome, cytome and microbiome;graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling ofhigh-dimensional data are also covered.The varied collection of themes in this volume introduces the reader to the richnessof the emerging field of Big Data Analytics. Artikel-Nr. 9788132236269
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