Customer churn prediction model using data mining techniques

Ibrahim M. M. Mitkees · Sherif M. Badr · Ahmed I. B. ElSeddawy

20 citations0/0 files storedInternational Computer Engineering Conference

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Customer churn and segmentation Customer Service Quality and Loyalty Data Mining and Machine Learning Applications

Abstract

A big problem that encounters businesses, especially telecommunications business is `customer churn' this occurs when a customer decides to leave a company's landline business for another cable competitor. Therefore, our aim beyond this study to build a model that will predict churn customer through defining the customer's precise behaviors and attributes. We will use data mining techniques such as clustering, classification and association rule. The accuracy and preciseness of the technique used is so essential to the success of any retention attempting. After all, if the company is not aware of a customer who is about to leave their business; no proper action can be taken by that company towards that customer.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 20 citations exist upstream.

References

2013A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services 2011A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services 2012Prediction of Churn Behaviour of Bank Customers Using Data Mining Tools 2013Data Mining as a tool to Predict the Churn Behaviour among Indian bank customers

Cited by

2021Customer Churn Prediction in Telecommunications Industry Based on Data Mining 2021Customer Decision Prediction Using Deep Neural Network on Telco Customer Churn Data 2022Predicting Customer Churn on OTT Platforms 2024Classification of Customer Churning based on OTT platform data.

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.