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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
SAUMYADIPTA PYNE is professor at the Public Health Foundation of India, at the Indian Institute of Public Health, Hyderabad, India. Formerly, he was P.C. Mahalanobis Chair Professor and head of Bioinformatics at the C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science. He is also Ramalingaswami Fellow of Department of Biotechnology, the Government of India, and the founder chairman of the Computer Society of India’s Special Interest Group on Big Data Analytics. Professor Pyne has promoted research and training in Big Data Analytics, globally, including as the workshop co-chair of IEEE Big Data in 2014 and 2015 held in the U.S.A. His research interests include Big Data problems in life sciences and health informatics, computational statistics and high-dimensional data modeling.
B.L.S. PRAKASA RAO is the Ramanujan Chair Professor at the C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science, Hyderabad, India. Formerly, he was director at the Indian Statistical Institute, Kolkata, and the Homi Bhabha Chair Professor at the University of Hyderabad. He is a Bhatnagar awardee from the Government of India, Fellow of all the three science academies in India, fellow of Institute of Mathematical Statistics, U.S.A., and a recipient of the national award in statistics in memory of P.V. Sukhatme from the Government of India. He has also received the Outstanding Alumni award from Michigan State University. With over 240 papers published in several national and international journals of repute, Professor Prakasa Rao is the author or editor of 13 books, and member of the editorial boards of several national and international journals. He was, most recently, the editor-in-chief for journals―Sankhya A and Sankhya B. His research interests include asymptotic theory of statistical inference, limit theorems in probability theory and inference for stochastic processes.
S.B. RAO was formerly director of the Indian Statistical Institute, Kolkata, and also director of the C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science, Hyderabad. His research interests include theory and algorithms in graph theory, networks and discrete mathematics with applications in social, biological, natural and computer sciences. Professor S.B. Rao has 45 years of teaching and research experience in various academic institutes in India and abroad. He has published about 90 research papers in several national and international journals of repute, and was editor of 11 books and proceedings. He wrote a paper jointly with the legendary Hungarian mathematician Paul Erdos, thus making his “Erdos Number” 1.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerAnbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces new computational methods and key applications due to known international researchers and labs Provides different application areas in Big Data applications such as management, Internet of Things, genomics and. Bestandsnummer des Verkäufers 449840978
Anzahl: Mehr als 20 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. Bestandsnummer des Verkäufers 9788132238713
Anzahl: 2 verfügbar
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 288 pp. Englisch. Bestandsnummer des Verkäufers 9788132238713
Anzahl: 2 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Bestandsnummer des Verkäufers ria9788132238713_new
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. 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. Bestandsnummer des Verkäufers 9788132238713
Anzahl: 1 verfügbar
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Zustand: new. Questo è un articolo print on demand. Bestandsnummer des Verkäufers 293dc17d97db0fed875ae44cc2bdf337
Anzahl: Mehr als 20 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Bestandsnummer des Verkäufers I-9788132238713
Anzahl: Mehr als 20 verfügbar
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Apr0316110306348
Anzahl: Mehr als 20 verfügbar
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
Paperback. Zustand: New. New. book. Bestandsnummer des Verkäufers ERICA80081322387106
Anzahl: 1 verfügbar