Application of data mining techniques in customer relationship management: A literature review and classification

EWT Ngai, L **u, DCK Chau - Expert systems with applications, 2009 - Elsevier
Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …

Multidisciplinary pattern recognition applications: A review

M Paolanti, E Frontoni - Computer Science Review, 2020 - Elsevier
Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

The impact of customer knowledge and customer relationship management on service quality

SM Tseng, PH Wu - International journal of quality and service …, 2014 - emerald.com
Purpose–Enterprises realize that customers are their most important asset and recognize
that a high level of customer satisfaction can only be achieved by enhancing service quality …

Intelligent machines as information and communication technology and their influence on sustainable marketing practices for beneficial impact on business …

RK Behera, A Rehman, MS Islam, FA Abbasi… - Journal of Cleaner …, 2024 - Elsevier
Intelligent machines are the machines or devices that make use of artificial intelligence and
robotics technologies. It has the ability to accomplish a specific task in the presence of …

Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer

CCH Chan - Expert systems with applications, 2008 - Elsevier
Most marketers have difficulty in identifying the right customers to engage in successful
campaigns. So far, customer segmentation is a popular method that is used for selecting …

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 …

We don't give a second thought before providing our information: understanding users' perceptions of information collection by apps in Urban Bangladesh

MN Al-Ameen, T Tamanna, S Nandy… - Proceedings of the 3rd …, 2020 - dl.acm.org
With a rapid increase in the use of digital technologies, people in the Global South including
Bangladesh are exposed to a wide-range of smartphone applications (termed as apps in …

A multi-attribute data mining model for rule extraction and service operations benchmarking

H Amoozad Mahdiraji, M Tavana… - Benchmarking: an …, 2022 - emerald.com
Purpose Customer differences and similarities play a crucial role in service operations, and
service industries need to develop various strategies for different customer types. This study …

A new methodology for customer behavior analysis using time series clustering: A case study on a bank's customers

H Abbasimehr, M Shabani - Kybernetes, 2021 - emerald.com
Purpose The purpose of this paper is to propose a new methodology that handles the issue
of the dynamic behavior of customers over time. Design/methodology/approach A new …

[PDF][PDF] Role of data mining in education sector

MM Ali - International Journal of Computer Science and Mobile …, 2013 - academia.edu
Universities either public or private and its colleges enroll thousands of students into various
courses or programs every year. They collect information from students at the time of …