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Big Data Analytics : Methods and Applications - Saumyadipta Pyne

Big Data Analytics

Methods and Applications

By: Saumyadipta Pyne (Editor), B.L.S. Prakasa Rao (Editor), S.B. Rao (Editor)

eText | 12 October 2016

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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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Non-FictionComputing & I.T.Business ApplicationsMathematical & Statistical SoftwareMedicineMedicine in GeneralPublic Health & Preventive MedicineEpidemiology & Medical StatisticsSociology & AnthropologySociologySocial Research & StatisticsEconomics
EconometricsEconomic StatisticsDatabasesData MiningMathematicsApplied MathematicsProbability & StatisticsComputer ScienceArtificial IntelligenceExpert Systems & Knowledge-Based Systems

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