
Computational and Statistical Methods for Analysing Big Data with Applications
Academic Press
Erschienen am 25. November 2015
Buch
Hardcover
206 Seiten
978-0-12-803732-4 (ISBN)
Beschreibung
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.
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.
Weitere Details
Sprache
Englisch
Verlagsort
San Diego
USA
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Für Beruf und Forschung
Produkt-Hinweis
laminiert
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 13 mm
Gewicht
452 gr
ISBN-13
978-0-12-803732-4 (9780128037324)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Weitere Ausgaben
Andere Ausgaben

Shen Liu | James Mcgree | Zongyuan Ge
Computational and Statistical Methods for Analysing Big Data with Applications
E-Book
10/2015
Academic Press
71,95 €
Als Download verfügbar
Personen
Queensland University of Technology, Australia
Autor*in
Research Fellow, Queensland University of Technology, Australia
Queensland University of Technology, Australia
Queensland University of Technology, Australia
Inhalt
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
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