Customer segmentation in XYZ bank using K-means and K-medoids clustering

M Aryuni, ED Madyatmadja… - 2018 International …, 2018 - ieeexplore.ieee.org
The Internet banking customers has growth very fast. Customer segmentation can be
applied based on Internet banking data. Clustering is unsupervised data mining technique …

Flood prediction using hybrid ANFIS-ACO model: a case study

A Agnihotri, A Sahoo, MK Diwakar - Inventive Computation and Information …, 2022 - Springer
Growing imperviousness and urbanization have increased peak flow magnitude which
results in flood events specifically during extreme conditions. Precise and reliable multi-step …

Building a model to exploit association rules and analyze purchasing behavior based on rough set theory

DT Tran, JH Huh - The Journal of Supercomputing, 2022 - Springer
In recent years, the information technology industry around the world has grown strong. At
the same time, we also face a new challenge with the explosion in the amount of …

Functional framework for multivariant e-commerce user interfaces

A Wasilewski - Journal of Theoretical and Applied Electronic …, 2024 - mdpi.com
Modern e-businesses heavily rely on advanced data analytics for product recommendations.
However, there are still untapped opportunities to enhance user interfaces. Currently, online …

Understanding impact of business intelligence to organizational performance using cluster analysis: does culture matter?

MP Bach, J Jaklič, DS Vugec - International Journal of Information …, 2018 - revistas.uminho.pt
Business intelligence is an approach that includes processes and systems for transformation
of the raw data into meaningful and useful information which enables effective, systematic …

Customer behavior analysis using Naive Bayes with bagging homogeneous feature selection approach

R Siva Subramanian, D Prabha - Journal of Ambient Intelligence and …, 2021 - Springer
The significant success of an organization greatly depends upon the consumers and their
relationship with the organization. The knowledge of consumer behavioral and a excellent …

Evaluation of different variable selection approaches with naive Bayes to improve the customer behavior prediction

R Siva Subramanian, D Prabha, J Aswini… - … : Proceedings of ICICIT …, 2022 - Springer
Study of consumer behavior analysis within the enterprises is considered as paramount to
identify how the customers are satisfied with the enterprise's services and also predicate …

Prediction of the shoppers loyalty with aggregated data streams

V Nikulin - Journal of Artificial Intelligence and Soft Computing …, 2016 - sciendo.com
Consumer brands often offer discounts to attract new shoppers to buy their products. The
most valuable customers are those who return after this initial incentive purchase. With …

Tüketicilerin restoran tercihlerinde fiziksel kanıtların rolünün incelenmesi üzerine nitel bir araştırma

S Kama - 2015 - search.proquest.com
Restoran işletmelerinin tüketicilere farklı deneyimler yaşatma amacıyla fiziksel kanıtlara
önem vermeye başlaması sonucunda fiziksel kanıtlar pek çok bilim dalı için önemli bir …

Rough Set Method for Determining Knowledge Attribute on Customer Satisfaction

N Istianingsih, S Defit - International Journal of Economics …, 2021 - repository.upiyptk.ac.id
Purpose: The research aims to determine how the level of customer satisfaction in a small
business is a field of flower arrangement services as well as information that can dug from a …