A Survey of Big Data Analytics for Smart Forestry
نویسندگان
چکیده
منابع مشابه
A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection
Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....
متن کاملA Survey of Big Data Analytics
Due to the arrival of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. This gives rise to the era of big data. The term big data comes with the new challenges to input, process and output the data. The paper focuses on limitation of traditional approach to manage the data and the components that are useful in handling big ...
متن کاملBig data analytics for smart mobility: a case study
1. APPLICATION SCENARIO This paper presents a real case study were several mobility data sources are collected in a urban context, integrated and analyzed in order to answer a set of key questions about mobility. The study of the human mobility is a very sensitive topic for both public transport (PT) companies and local administrations. This work is a contribution in the understanding of some a...
متن کاملApplication of Big Data Analytics in Power Distribution Network
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
متن کاملBig Data Analytics for Dynamic Energy Management in Smart Grids
The smart electricity grid enables a two-way flow of power and data between suppliers and consumers in order to facilitate the power flow optimization in terms of economic efficiency, reliability and sustainability. This infrastructure permits the consumers and the micro-energy producers to take a more active role in the electricity market and the dynamic energy management (DEM). The most impor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2907999