The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review

AS Yalcin, HS Kilic, D Delen - Technological forecasting and social change, 2022 - Elsevier
Business analytics (BA) systems are considered significant investments for enterprises
because they have the potential to considerably improve firms' performance. With the value …

A comprehensive survey of data mining

MK Gupta, P Chandra - International Journal of Information Technology, 2020 - Springer
Data mining plays an important role in various human activities because it extracts the
unknown useful patterns (or knowledge). Due to its capabilities, data mining become an …

Feature analysis of coronary artery heart disease data sets

R El-Bialy, MA Salamay, OH Karam… - Procedia Computer …, 2015 - Elsevier
Data sets dealing with the same medical problems like Coronary artery disease (CAD) may
show different results when applying the same machine learning technique. The …

Performance evaluation of K-means clustering algorithm with various distance metrics

S Kapil, M Chawla - 2016 IEEE 1st international conference on …, 2016 - ieeexplore.ieee.org
Data Mining is the technique used to visualize and scrutinize the data and drive some useful
information from that data so that information can be used to perform any useful work. So …

A survey on data mining classification algorithms

S Umadevi, KSJ Marseline - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Data mining refers to extracting or mining knowledge from large amount of data. It is also
defined as finding hidden information from a database. It is a technique which is used …

Neural network ensembles for sensor-based human activity recognition within smart environments

N Irvine, C Nugent, S Zhang, H Wang, WWY Ng - Sensors, 2019 - mdpi.com
In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-
driven approaches rely on good quality data during training, however, a shortage of high …

[HTML][HTML] Using artificial intelligence to identify administrative errors in unemployment insurance

MM Young, J Himmelreich, D Honcharov… - Government Information …, 2022 - Elsevier
Administrative errors in unemployment insurance (UI) decisions give rise to a public values
conflict between efficiency and efficacy. We analyze whether artificial intelligence (AI)–in …

Leveraging mist and fog for big data analytics in IoT environment

IM El‐Hasnony, RR Mostafa… - Transactions on …, 2021 - Wiley Online Library
Abstract Internet of Things (IoT) emerged as one of the leading technological advancements
of our days. IoT generates enormous quantities of valuable data that need on time …

Data mining techniques and applications—A decade review

HA Madni, Z Anwar, MA Shah - 2017 23rd international …, 2017 - ieeexplore.ieee.org
Data mining is also known as Knowledge Discovery in Database (KDD). It is also defined as
the process which includes extracting the interesting, interpretable and useful information …

Predictive fraud analysis applying the fraud triangle theory through data mining techniques

M Sánchez-Aguayo, L Urquiza-Aguiar… - Applied Sciences, 2022 - mdpi.com
Fraud is increasingly common, and so are the losses caused by this phenomenon. There is,
thus, an essential economic incentive to study this problem, particularly fraud prevention …