Anomalies prediction in radon time series for earthquake likelihood using machine learning-based ensemble model

AA Mir, FV Çelebi, H Alsolai, SA Qureshi… - IEEE …, 2022 - ieeexplore.ieee.org
The ability to predict the radioactive soil radon gas concentration is important for human
beings because it serves as a precursor to earthquakes. Several studies have been …

Data mining preparation: process, techniques and major issues in data analysis

MA Jassim, SN Abdulwahid - IOP conference series: materials …, 2021 - iopscience.iop.org
Data preparation is an essential stage in data analysis. Many institutions or companies are
interested in converting data into pure forms that can be used for scientific and profit …

[HTML][HTML] A novel Hybrid Exhaustive Search and data preparation technique with multi-objective Discrete Hopfield Neural Network

A Alway, NE Zamri, MA Mansor… - Decision Analytics …, 2023 - Elsevier
The primary objective in building predictive analytics models is to achieve optimal accuracy
with real datasets. The limitations of existing models lie in their storage capacity, which …

Market basket analysis using apriori and FP-growth for analysis consumer expenditure patterns at Berkah Mart in Pekanbaru Riau

Mustakim, DM Herianda, A Ilham… - Journal of Physics …, 2018 - iopscience.iop.org
Berkah Mart is one of the new minimarkets in Pekanbaru city which began to develop as a
retail business to meet the needs of the community. In his operation, Berkah Mart still uses …

Proposed strategic framework for effective artificial intelligence adoption in UAE

MU Tariq, AA Abonamah - Academy of Strategic Management …, 2021 - search.proquest.com
Artificial Intelligence is a significant technology that boosts the daily activities of social and
economic life. The current study suggested a strategic framework for effective artificial …

The impact of predictive analytics and AI on digital marketing strategy and roi

MA Al Khaldy, BAA Al-Obaydi, AJ al Shari - Conference on Sustainability …, 2023 - Springer
The study explores the effects of artificial intelligence (AI) and predictive analytics on digital
marketing strategy and return on investment (ROI). It reviews relevant literature on the use of …

Enhancing Customer Engagement in Loyalty Programs Through AI-Powered Market Basket Prediction Using Machine Learning Algorithms

M Meftah, S Ounacer, M Azzouazi - Engineering Applications of Artificial …, 2024 - Springer
Artificial Intelligence (AI) has paved the way for numerous technological advancements in
various fields, seamlessly connecting one domain to another. In the realm of large-scale …

Market basket analysis for fresh products location improvement: A case study of E-commerce business warehouse

P Jirapatsil, N Phumchusri - … of the 4th International Conference on …, 2022 - dl.acm.org
Market Basket Analysis (MBA) uses the data mining technique as an analysis tool to
understand association among many items. It is a useful tool for extracting information from …

Next Web Page Prediction using Genetic Algorithm and Feed Forward Association Rule based on Web-Log Features

RA Gangurde, B Kumar - International Journal of Performability …, 2020 - ijpe-online.com
The frequent utilization of websites has captivated numerous researchers, who have sought
to upgrade the performance of websites through behavior analysis. Weblog feature …

Market Basket Analysis: An Effective Data-Mining Technique for Anticipating Consumer Purchase Behavior

S Nagaraj - Big Data Analytics, 2021 - taylorfrancis.com
It is always challenging to read the changes in times of ever-changing market scenarios and
consumer purchasing patterns. Consumers' purchase of products in the retail settings is …