Computational and Statistical Methods for Analysing Big Data with Applications
  • Release Date : 20 November 2015
  • Publisher : Academic Press
  • Genre : Mathematics
  • Pages : 206 pages
  • ISBN 13 : 9780081006511
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Download or read book entitled Computational and Statistical Methods for Analysing Big Data with Applications by author: Shen Liu which was release on 20 November 2015 and published by Academic Press with total page 206 pages . This book available in PDF, EPUB and Kindle Format. Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies are discussed to demonstrate the implementation of the developed methods Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation Computing code/programs are provided where appropriate

Handbook of Big Data

Handbook of Big Data

Author : Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
Publisher : CRC Press
Genre : Business & Economics
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