Ing. Mark Azietaku

Master's thesis

Customers Classification using Recency Frequency, Monetary value (RFM), and K-means clustering algorithm

Customers Classification using Recency Frequency, Monetary value (RFM), and K-means clustering algorithm
Anotácia:
Data mining has changed how people see data and how much knowledge and information it may provide for business decisions to enhance competitiveness and profitability. Companies use data mining techniques with Customer Relationship Management (CRM) to better understand their customers' requirements and preferences. This study suggested using K-means algorithms for consumer segmentation in a public institution …viac
Abstract:
Data mining has changed how people see data and how much knowledge and information it may provide for business decisions to enhance competitiveness and profitability. Companies use data mining techniques with Customer Relationship Management (CRM) to better understand their customers' requirements and preferences. This study suggested using K-means algorithms for consumer segmentation in a public institution …viac
 
 
Jazyk práce: English
Datum vytvoření / odevzdání či podání práce: 5. 1. 2024

Obhajoba závěrečné práce

  • Obhajoba proběhla 30. 1. 2024
  • Vedúci: doc. Ahad Zareravasan, PhD
  • Oponent: Ing. Michal Jirásek, Ph.D.

Citační záznam

Plný text práce

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Zveřejněno v Theses:
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Instituce archivující a zpřístupňující práci: Masarykova univerzita, Ekonomicko-správní fakulta

Masaryk University

Faculty of Economics and Administration

Master programme / odbor:
Business Management / Business Management

Práce na příbuzné téma

  • Žádné práce na příbuzné téma.