Computational and Statistical Methods for Analysing Big Data with Applications
Autor Shen Liu, James Mcgree, Zongyuan Ge, Yang Xieen Limba Engleză Hardback – 24 noi 2015
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
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Specificații
ISBN-13: 9780128037324
ISBN-10: 0128037326
Pagini: 206
Dimensiuni: 152 x 229 x 15 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
Locul publicării:San Diego
ISBN-10: 0128037326
Pagini: 206
Dimensiuni: 152 x 229 x 15 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
Locul publicării:San Diego
Cuprins
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