Energy-aware heuristic scheduling using bin packing mapreduce scheduler for heterogeneous workloads performance in big data
S Aarthee, R Prabakaran - Arabian Journal for Science and Engineering, 2023 - Springer
Big data refers to diverse large data types from heterogeneous sources such as mobile
devices, the web, social media, and the internet of things. The cloud offers a wide variety of …
devices, the web, social media, and the internet of things. The cloud offers a wide variety of …
[PDF][PDF] Analyzing customer sentiments using machine learning techniques
G Magesh, P Swarnalatha - Int. J. Civ. Eng. Technol, 2017 - academia.edu
Nowadays in this digital world we see huge amount of data being created every day,
Amazon is one of the leading e-commerce companies which possess such kind of data and …
Amazon is one of the leading e-commerce companies which possess such kind of data and …
Applications of big data and AI in electric power systems engineering
TC Akinci - AI and Big Data's Potential for Disruptive Innovation, 2020 - igi-global.com
The production, transmission, and distribution of energy can only be made stable and
continuous by detailed analysis of the data. The energy demand needs to be met by a …
continuous by detailed analysis of the data. The energy demand needs to be met by a …
Introduction to Data Science
M Govindarajan - Handbook of Research on Engineering, Business …, 2021 - igi-global.com
This chapter focuses on introduction to the field of data science. Data science is the area of
study which involves extracting insights from vast amounts of data by the use of various …
study which involves extracting insights from vast amounts of data by the use of various …