Big Data Analytics for a Smart Green Infrastructure Strategy

International Conference on Materials, Alloys and Experimental Mechanics 2017

材料科学;金属学;机械制造

Barrile, Vincenzo^1 ; Bonfa, Stefano^2 ; Bilotta, Giuliana^3

DICEAM Department, Mediterranea University of Reggio Calabria, Reggio, Calabria

89100, Italy^1

Oxford Sustainable Development (OxSDE), 207 Banbury Road, Oxford

OY2 7HT, United Kingdom^2

Department of Planning, IUAV University of Venice, Venice

30135, Italy^3

关键词: Big Data Analytics;    Data analytics;    Data processing applications;    Data set;    Earth observation data;    Green infrastructure;    User behaviors;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012195/pdf
DOI  :  10.1088/1757-899X/225/1/012195

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

As well known, Big Data is a term for data sets so large or complex that traditional data processing applications aren't sufficient to process them. The term "Big Data" is referred to using predictive analytics. It is often related to user behavior analytics, or other advanced data analytics methods which from data extract value, and rarely to a particular size of data set. This is especially true for the huge amount of Earth Observation data that satellites constantly orbiting the earth daily transmit.