Internal control effectiveness–a clustering approach

A Länsiluoto, A Jokipii, T Eklund - Managerial Auditing Journal, 2016 - emerald.com
Purpose–This study aims to examine and visualize the adopted internal control structure
and effectiveness in firms and present a typology of firms. Control structure and effectiveness …

Analysis for customer lifetime value categorization with RFM model

S Monalisa, P Nadya, R Novita - Procedia Computer Science, 2019 - Elsevier
The same treatment of all customers will cause customers who are not so valuable will be
value destroyer rather than a value creator. Giving discounts and promos to all customers …

An introduction to self-organizing maps

U Asan, S Ercan - … intelligence systems in industrial engineering: With …, 2012 - Springer
As a special class of artificial neural networks the Self Organizing Map is used extensively
as a clustering and visualization technique in exploratory data analysis. This chapter …

Geo-marketing segmentation with deep learning

O Benbrahim Ansari - Businesses, 2021 - mdpi.com
Spatial clustering is a fundamental instrument in modern geo-marketing. The complexity of
handling of high-dimensional and geo-referenced data in the context of distribution networks …

Using self organizing maps and K means clustering based on RFM model for customer segmentation in the online retail business

R Vohra, J Pahareeya, A Hussain, F Ghali… - … Conference, ICIC 2020 …, 2020 - Springer
This work based on the research of Chen et al. who compiled sales data for a UK based
online retailer for the years 2009 to 2011. While the work presented by Chen et al. used k …

Analysis of DBSCAN and K-means algorithm for evaluating outlier on RFM model of customer behaviour

S Monalisa, F Kurnia - … Computing Electronics and Control), 2019 - telkomnika.uad.ac.id
The aim of study is to discover outlier of customer data to found customer behaviour. The
customer behaviour determined with RFM (Recency, Frequency and Monetary) models with …

Combining visual customer segmentation and response modeling

Z Yao, P Sarlin, T Eklund, B Back - Neural Computing and Applications, 2014 - Springer
Customer relationship management is a central part of Business Intelligence, and sales
campaigns are often used for improving customer relationships. This paper uses advanced …

[图书][B] Knowledge service engineering handbook

J Kantola, W Karwowski - 2012 - books.google.com
Edited by Jussi Kantola, the founding faculty member of the world's first university
Knowledge Service Engineering Department at Korea Advanced Institute of Science and …

Combining unsupervised and supervised data mining techniques for conducting customer portfolio analysis

Z Yao, AH Holmbom, T Eklund, B Back - … 2010, Berlin, Germany, July 12-14 …, 2010 - Springer
Leveraging the power of increasing amounts of data to analyze customer base for attracting
and retaining the most valuable customers is a major problem facing companies in this …

THz Data Analysis and Self-Organizing Map (SOM) for the Quality Assessment of Hazelnuts

M Greco, S Giarnetti, E Giovenale, A Taschin… - Applied Sciences, 2024 - mdpi.com
In recent years, the use of techniques based on electromagnetic radiation as an
investigative tool in the agri-food industry has grown considerably, and between them, the …