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Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms [PDF]
InformationIn today’s data-driven business landscape, effective customer segmentation is crucial for enhancing engagement, loyalty, and profitability. Traditional clustering methods often struggle with datasets containing both numerical and categorical variables ...
Chukwutem Pinic Ufeli +3 more
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Bank Customer Segmentation Using Data Mining [PDF]
مطالعات مدیریت بهبود و تحول, 2012 One of the important challenges in customer-based organizations is customer cognition, understanding difference between them and ranking them. Customer need-based segmentation was common in past years, but recently customer value as a quantifiable ...
Samaneh khajvand +2 more
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TACS-Net: Temporal-Aware Customer Segmentation Network
IEEE Open Journal of the Computer SocietyCustomer segmentation is essential for personalized marketing, customer retention, and strategic decision-making. Traditional segmentation methods, such as k-Means and Gaussian Mixture Models, rely on static features and fail to capture the evolving ...
Abu Sadat Mohammad Shaker +6 more
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Jurnal Riset Informatika, 2021 The customer is a stakeholder for a business, to maintain and increase customer enthusiasm and develop it for the company's performance, it is necessary to do customer segmentation which aims to find out potential customers.
Difa Lazuardi Aditya, Devi Fitrianah
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An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market
Analytics, 2023 Recently, peoples’ awareness of online purchases has significantly risen. This has given rise to online retail platforms and the need for a better understanding of customer purchasing behaviour.
Jeen Mary John +2 more
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International Journal for Research in Applied Science and Engineering TechnologyAbstract: Effective marketing involves targeting specific customer groups with personalized products, services, and campaigns, making customer segmentation a crucial strategy in modern business. This paper introduces a pioneering customer segmentation method that utilizes machine learning techniques to accurately and efficiently segment customers based
T. Ammannamma +3 more
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Jurnal Teknologi dan Sistem Komputer, 2020 Information on customer loyalty characteristics in a company is needed to improve service to customers. A customer segmentation model based on transaction data can provide this information.
Novianti Puspitasari +2 more
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Pengaruh segmentasi pasar terhadap kepuasan pelanggan (nasabah) pada Bank BPR Jatim Cabang Ponorogo
EQUILIBRIUM: Jurnal Ilmiah Ekonomi dan Pembelajarannya, 2017 This study aims to determine the effect of market segmentation of customer satisfaction (Customer) in bank BPR Jatim Branch of Ponorogo. Market Segmentation effect on customer satisfaction as evidenced from t value on the market cementation variable (X ...
Elis Tri Wahyuni
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Similarity of Transactions for Customer Segmentation [PDF]
, 2012 Customer segmentation is usually the first step towards customer analysis and helps to make strategic plans for a company. Similarity between customers plays a key role in customer segmentation, and is usually evaluated by distance measures. While various distance measures have been proposed in data mining literature, the desirable distance measures ...
Lu, Ke, Furukawa, Tetsuya
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International Journal For Innovative Engineering and Management Research, 2022 In today’s fast moving world of marketing, the management of customer treatment can be seen as a key to achieve revenue growth and profitability. One of the big challenges in customer-based organizations is customer cognition, understanding the difference between them, and scoring them.
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