Internal control effectiveness–a clustering approach
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 …
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 …
value destroyer rather than a value creator. Giving discounts and promos to all customers …
An introduction to self-organizing maps
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 …
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 …
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
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 …
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 …
customer behaviour determined with RFM (Recency, Frequency and Monetary) models with …
Combining visual customer segmentation and response modeling
Customer relationship management is a central part of Business Intelligence, and sales
campaigns are often used for improving customer relationships. This paper uses advanced …
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 …
Knowledge Service Engineering Department at Korea Advanced Institute of Science and …
Combining unsupervised and supervised data mining techniques for conducting customer portfolio analysis
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 …
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
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 …
investigative tool in the agri-food industry has grown considerably, and between them, the …