Liu / Mcgree / Ge Computational and Statistical Methods for Analysing Big Data with Applications

1. Auflage 2015
ISBN: 978-0-08-100651-1
Verlag: Morgan Kaufmann
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 206 Seiten, Format (B × H): 152 mm x 229 mm

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

Queensland University of Technology, Australia

Autoren/Hrsg.

Liu, Shen

Mcgree, James

Ge, Zongyuan

Xie, Yang

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Preface
Chapter 1. An overview of the era of big data
Chapter 2. Computational and statistical methods for processing big data
Chapter 3. Analysing big data in health and medical research
Chapter 4. Computer vision with massive training data
Chapter 5. Data from mobile devices: collection and analysis
Conclusion
Bibliography
Index

Über Autor(innen)

Ge, Zongyuan
Queensland University of Technology, Australia