Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions

AC Ikegwu, HF Nweke, CV Anikwe, UR Alo… - Cluster …, 2022 - Springer
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …

Data classification using rough set and bioinspired computing in healthcare applications-an extensive review

N Kumari, DP Acharjya - Multimedia Tools and Applications, 2023 - Springer
The change in living standard made people to think on their physical health. Accordingly,
healthcare organizations are concentrating more on physical health of people in terms of …

Innovation in marketing research: quantitative and qualitative analysis

H Dzwigol - 2020 - essuir.sumdu.edu.ua
This article focuses on the triangulation of research methods and techniques in the
discussion on the evaluation of marketing research. Research traditions in marketing can be …

Multi-granularity dominance rough concept attribute reduction over hybrid information systems and its application in clinical decision-making

X Chu, B Sun, X Chu, J Wu, K Han, Y Zhang… - Information Sciences, 2022 - Elsevier
Multi-granularity conceptual analysis has become an essential tool for data analysis and
knowledge representation. This paper abstracts a class of uncertain decision-making …

A hybrid scheme for heart disease diagnosis using rough set and cuckoo search technique

DP Acharjya - Journal of medical systems, 2020 - Springer
Large volumes of raw data are created from the digital world every day. Acquiring useful
information from these data is challenging, and it turned into a prime zone of momentum …

[HTML][HTML] The dynamic update method of attribute-induced three-way granular concept in formal contexts

B Long, W Xu, X Zhang, L Yang - International Journal of Approximate …, 2020 - Elsevier
Granular computing is becoming a very hot research field, which has received extensive
attention in recent years. It helps us to analyze and solve problems better by dividing …

A smart trolley for smart shop**

TK Das, AK Tripathy… - … Conference on System …, 2020 - ieeexplore.ieee.org
Shop** is really fascinating and alluring; at the same time, it involves getting tired due to
standing in a long queue for the bill and payment process. Hence, it is proposed to design a …

Security-aware multi-cloud service composition by exploiting rough sets and fuzzy FCA

F Lahmar, H Mezni - Soft Computing, 2021 - Springer
With the emergence of cloud computing and to better satisfy users' complex requirements in
front of the huge number of cloud services, these latter may be combined while considering …

Rough computing—A review of abstraction, hybridization and extent of applications

DP Acharjya, A Abraham - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
The rapid growth of information and communication technology captured common man and
various organizations and influenced each individual's life, work, and study. It leads to a data …

Electric bus arrival and charging station placement assessment using machine learning techniques

H Reda, SK Mohapatra, TK Das… - International Journal of …, 2024 - Taylor & Francis
The goal of this study is to create a dynamic model that can accurately forecast the estimated
time of arrival of a bus at a specific bus stop using data obtained from the global positioning …