Computational And Statistical Methods For Analysing Big Data With Applications

Hardcover | November 24, 2015

byShen Liu, James Mcgree, Zongyuan Ge

not yet rated|write a review
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

Pricing and Purchase Info

$128.67 online
$137.95 list price (save 6%)
In stock online
Ships free on orders over $25

From the Publisher

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 f...

Queensland University of Technology, Australia

other books by Shen Liu

Online Chinese Nationalism and China's Bilateral Relations
Online Chinese Nationalism and China's Bilateral Relati...

Kobo ebook|Mar 18 2010

$100.09 online$129.99list price(save 23%)
Cognitive Resource Management for Heterogeneous Cellular Networks
Cognitive Resource Management for Heterogeneous Cellula...

Kobo ebook|May 7 2014

$48.49 online$62.89list price(save 22%)
Enabling the New Era of Cloud Computing: Data Security, Transfer, and Management
Enabling the New Era of Cloud Computing: Data Security,...

Kobo ebook|Nov 30 2013

$197.09 online$255.91list price(save 22%)
Format:HardcoverDimensions:206 pages, 9.41 × 7.24 × 0.98 inPublished:November 24, 2015Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128037326

ISBN - 13:9780128037324

Customer Reviews of Computational And Statistical Methods For Analysing Big Data With Applications

Reviews

Extra Content

Table of Contents

Chapter 1 Introduction

Chapter 2 Classification methods

Chapter 3 Finding groups in data

Chapter 4 Computer vision in big data applications

Chapter 5 A computational method for analysing large spatial datasets

Chapter 6 Big data and design of experiments

Chapter 7 Big data with health care application

Chapter 8 Big data from mobile devices