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  • Search: subject:"Customer Classification"
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Year of publication
Subject
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Classification 3 Customer classification 3 Data Mining 3 Klassifikation 3 Beziehungsmarketing 2 Churn of Customers 2 Consumer behaviour 2 Customer Classification 2 Data mining 2 KNN Algorithm 2 Konsumentenverhalten 2 Lieferkette 2 Mobile Telecom Market 2 Relationship marketing 2 Supply chain 2 Aquaculture 1 Aquakultur 1 Artificial intelligence 1 Artificial neural network 1 Behavior modeling 1 Customer analysis 1 Customer segmentation 1 Decision modeling 1 Fische 1 Fischerei 1 Fish 1 Fisheries 1 Kundenanalyse 1 Künstliche Intelligenz 1 Logistics 1 Logistik 1 Market research 1 Market segmentation 1 Marktforschung 1 Marktsegmentierung 1 Mathematical programming 1 Mathematische Optimierung 1 Mobile communications 1 Mobilkommunikation 1 Nachhaltige Entwicklung 1
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Online availability
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Undetermined 5 CC license 1 Free 1
Type of publication
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Article 6
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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English 5 Undetermined 1
Author
All
Otarkhani, Ali 2 Saeidpour, Parna 2 Shokouhyar, Sajjad 2 Abedi, Arash 1 Arain, Zulfiqar Ali 1 Babu, Manivannan 1 Gunasekaran, Angappa 1 Khan, Salabat 1 LU, JIE 1 Mushafiq, Muhammad 1 Rahim, Mussadiq Abdul 1 Rajendran, Brintha 1 ZHANG, GUANGQUAN 1 ZHANG, JIE 1 Zhu, Weihang 1
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Published in...
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International Journal of Information Systems in the Service Sector (IJISSS) 1 International journal of information systems in the service sector : IJISSS ; an official publication of the Information Resources Management Association 1 International journal of production research 1 Journal of retailing and consumer services 1 New Mathematics and Natural Computation (NMNC) 1 Supply chain analytics 1
Source
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ECONIS (ZBW) 4 RePEc 1 Other ZBW resources 1
Showing 1 - 6 of 6
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A machine learning framework for classifying customer advocacy in sustainable supply chains
Rajendran, Brintha; Gunasekaran, Angappa; Babu, Manivannan - In: Supply chain analytics 11 (2025), pp. 1-15
Sustainable supply chain management plays a pivotal role in shaping corporate reputation and enhancing customer loyalty in the contemporary market. This study uniquely integrates regional, demographic, and psychographic data with advanced machine learning methodologies, including clustering,...
Persistent link: https://www.econbiz.de/10015519748
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RFM-based repurchase behavior for customer classification and segmentation
Rahim, Mussadiq Abdul; Mushafiq, Muhammad; Khan, Salabat; … - In: Journal of retailing and consumer services 61 (2021), pp. 1-9
Persistent link: https://www.econbiz.de/10012581908
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Predicting Customers' Churn Using Data Mining Technique and its Effect on the Development of Marketing Applications in Value-Added Services in Telecom Industry
Saeidpour, Parna; Otarkhani, Ali; Shokouhyar, Sajjad - In: International Journal of Information Systems in the … 10 (2018) 4, pp. 59-72
This article aims to predict reasons behind customers' churn in the mobile communication market. In this study, different data mining techniques such as logistic regression, decision trees, artificial neural networks, and K-nearest neighbor were examined. In addition, the general trend of the...
Persistent link: https://www.econbiz.de/10012045898
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Predicting customers' churn using data mining technique and its effect on the development of marketing applications in value-added services in telecom industry
Shokouhyar, Sajjad; Saeidpour, Parna; Otarkhani, Ali - In: International journal of information systems in the … 10 (2018) 4, pp. 59-72
Persistent link: https://www.econbiz.de/10011938750
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An optimisation model for purchase, production and distribution in fish supply chain : a case study
Abedi, Arash; Zhu, Weihang - In: International journal of production research 55 (2017) 11/12, pp. 3451-3464
Persistent link: https://www.econbiz.de/10011655256
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AN INTELLIGENT CLASSIFICATION METHOD IN BANK CUSTOMER RELATIONSHIP MANAGEMENT
ZHANG, JIE; LU, JIE; ZHANG, GUANGQUAN - In: New Mathematics and Natural Computation (NMNC) 03 (2007) 01, pp. 111-121
Customer classification is one of the major tasks in customer relationship management. Customers often have both static … reasonability of customer classification. In the proposed classification method, customer dynamic data is clustered using a hybrid … accuracy of customer classification comparing with the traditional methods where only static data is used. …
Persistent link: https://www.econbiz.de/10005080813
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