Big data reduction framework for value creation in sustainable enterprises
Value creation is a major sustainability factor for enterprises, in addition to profit
maximization and revenue generation. Modern enterprises collect big data from various …
maximization and revenue generation. Modern enterprises collect big data from various …
Big data reduction methods: a survey
Research on big data analytics is entering in the new phase called fast data where multiple
gigabytes of data arrive in the big data systems every second. Modern big data systems …
gigabytes of data arrive in the big data systems every second. Modern big data systems …
Taxonomy of edge computing: Challenges, opportunities, and data reduction methods
K Jain, S Mohapatra - Edge Computing: From Hype to Reality, 2019 - Springer
Abstract The Internet of Things (IoT) is expected to grow faster than any other category of
connected devices. IoT allows any device with an on-and-off switch to connect to the internet …
connected devices. IoT allows any device with an on-and-off switch to connect to the internet …
Rededge: A novel architecture for big data processing in mobile edge computing environments
M Habib ur Rehman, PP Jayaraman… - Journal of Sensor and …, 2017 - mdpi.com
We are witnessing the emergence of new big data processing architectures due to the
convergence of the Internet of Things (IoTs), edge computing and cloud computing. Existing …
convergence of the Internet of Things (IoTs), edge computing and cloud computing. Existing …
An influence assessment method based on co-occurrence for topologically reduced big data sets
The extraction of meaningful, accurate, and relevant information is at the core of Big Data
research. Furthermore, the ability to obtain an insight is essential in any decision-making …
research. Furthermore, the ability to obtain an insight is essential in any decision-making …
The rise of big data science: A survey of techniques, methods and approaches in the field of natural language processing and network theory
The continuous creation of data has posed new research challenges due to its complexity,
diversity and volume. Consequently, Big Data has increasingly become a fully recognised …
diversity and volume. Consequently, Big Data has increasingly become a fully recognised …
Towards a computational model of artificial intuition and decision making
The ability to perform a detailed decision-making approach based on large quantities of
parameters and data is at the core of the majority of sciences. Traditionally, all possible …
parameters and data is at the core of the majority of sciences. Traditionally, all possible …
Assessment of security threats via network topology analysis: An initial investigation
Computer networks have increasingly been the focus of cyber attack, such as botnets, which
have a variety of serious cybersecurity implications. As a consequence, understanding their …
have a variety of serious cybersecurity implications. As a consequence, understanding their …
An investigation on human dynamics in enclosed spaces
In this article, we introduce a method for analysing specific dynamical properties associated
with the movement of people on a two-dimensional (compact) space. We focus on a variety …
with the movement of people on a two-dimensional (compact) space. We focus on a variety …
A kuramoto model based approach to extract and assess influence relations
In this paper, we introduce a novel method to extract and assess influence relations between
concepts, based on a variation of the Kuramoto Model. The initial evaluation focusing on an …
concepts, based on a variation of the Kuramoto Model. The initial evaluation focusing on an …