“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)
Big Data Analytics
Methods and Applications
herausgegeben von Saumyadipta Pyne, B.L.S. Prakasa Rao und S.B. RaoThis 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.
