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Download the fantastic book titled Frontiers in Massive Data Analysis written by National Research Council, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Frontiers in Massive Data Analysis", which was released on 03 September 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Frontiers in Massive Data Analysis by National Research Council PDF

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.


Detail About Frontiers in Massive Data Analysis PDF

  • Author : National Research Council
  • Publisher : National Academies Press
  • Genre : Mathematics
  • Total Pages : 190 pages
  • ISBN : 0309287812
  • PDF File Size : 51,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Frontiers in Massive Data Analysis

Frontiers in Massive Data Analysis
  • Publisher : National Academies Press
  • File Size : 26,6 Mb
  • Release Date : 03 September 2013
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Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being

Frontiers in Data Science

Frontiers in Data Science
  • Publisher : CRC Press
  • File Size : 43,6 Mb
  • Release Date : 16 October 2017
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Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights.

Big Data Analytics

Big Data Analytics
  • Publisher : Springer
  • File Size : 45,8 Mb
  • Release Date : 06 December 2013
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This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully

Big Data Analytics

Big Data Analytics
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  • File Size : 50,6 Mb
  • Release Date : 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

Machine Learning for Big Data Analysis

Machine Learning for Big Data Analysis
  • Publisher : Walter de Gruyter GmbH & Co KG
  • File Size : 49,7 Mb
  • Release Date : 17 December 2018
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This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for

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Statistical Analysis of Next Generation Sequencing Data
  • Publisher : Springer
  • File Size : 51,8 Mb
  • Release Date : 03 July 2014
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Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that

Managerial Perspectives on Intelligent Big Data Analytics

Managerial Perspectives on Intelligent Big Data Analytics
  • Publisher : IGI Global
  • File Size : 43,7 Mb
  • Release Date : 22 February 2019
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Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues

New Frontiers of Biostatistics and Bioinformatics

New Frontiers of Biostatistics and Bioinformatics
  • Publisher : Springer
  • File Size : 33,6 Mb
  • Release Date : 05 December 2018
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This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book

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  • Publisher : FT Press
  • File Size : 28,7 Mb
  • Release Date : 15 May 2014
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Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning. When most technical professionals think of Big Data analytics today, they think of