Customer churn classification in telecommunication company using rough set theory

QR Code

Customer churn classification in telecommunication company using rough set theory

Churn is perceived as the behaviour of a customer to leave or to terminate a service. This behaviour causes the loss of profit to companies because acquiring new customer incurred high investment for advertisements and promotions compared to retaining existing ones. Thus, it is necessary to consider...

Full description

Bibliographic Details
Main Author:	Nur Syafiqah, Mohd Nafis
Format:	Thesis
Language:	English
Published:	2016
Subjects:	QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/16930/ http://umpir.ump.edu.my/id/eprint/16930/1/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory.pdf

Similar Items

Trademark image classification approaches using neural network and rough set theory
by: Saad, Puteh
Published: (2003)

Rough Set Discretize Classification of Intrusion Detection System
by: Noor Suhana, Sulaiman, et al.
Published: (2016)

Predictive Modeling for Telco Customer Churn using Rough Set Theory

Rough sets theory for travel demand analysis in Malaysia
by: Wong, Jenn Hwee
Published: (2008)

Applying Rough Set Theory for Student Clustering on Assessment Datasets
by: Suhirman, na, et al.
Published: (2013)

Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
by: Sulaiman, Noor Suhana
Published: (2007)

Customer sentiment analysis through social media feedback: A case study on telecommunication company
by: Mat Zain, Siti Nur Syamimi, et al.
Published: (2022)

Arabic language script and encoding identification with support vector machines and rough set theory
by: Mohamed Sidya, Mohamed Ould
Published: (2007)

Fuzzy rules reduction using rough set approach
by: Yusof, Norazah, et al.
Published: (2003)

Feature selection using rough set in intrusion detection
by: Zainal, Anazida, et al.
Published: (2006)

An enhancement of classification technique based on rough set theory for intrusion detection system application
by: Noor Suhana, Sulaiman
Published: (2019)

Segmentation Of Ultisequence Medical Images Using Random Walks Algorithm And Rough Sets Theory
by: Lim, Khai Yin
Published: (2017)

Rough Set Significant Reduct and Rules of Intrusion Detection System
by: Noor Suhana, Sulaiman, et al.
Published: (2017)

2019_A New Classification Performance Of Customer Churn Model Using Soft Set Theory

Churn Forecast Portal using Random Forest Classifier
by: Arpan, Chakraborty, et al.
Published: (2024)

Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means
by: Chimphlee, Witcha, et al.
Published: (2005)

Benign and malignant detection and classification for small size image of breast tumor recognition system using u-net model
by: Suryanti, Awang, et al.
Published: (2024)

The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification
by: Nur Syafiqah, Mohd Nafis
Published: (2022)

Predicting churn: how multilayer perceptron method can help with customer retention in telecom industry
by: Nilam Nur Amir, Sjarif, et al.
Published: (2020)

Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm
by: Lee, Angela Siew Hoong *, et al.
Published: (2019)

Dynamic Technique for Optimizing Universal Mobile Telecommunication System Active Set.
by: Mutlag, Samer Abdulsada
Published: (2010)

Behavious based computer user clustering using rough set theory
by: Wang , Le Wei
Published: (2013)

Rough Set Granularity in Mobile Web Pre-Caching
by: Sulaiman, Sarina, et al.

Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
by: Noor Suhana, Sulaiman, et al.
Published: (2017)

Rough set discretization: Equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
by: Noor Suhana, Sulaiman, et al.
Published: (2016)

Large Dataset Classification Using Parallel Processing Concept
by: Aljanabi, Mohammad, et al.
Published: (2020)

Rough web caching
by: Sulaiman, Sarina, et al.
Published: (2009)

Rough Sets Clustering and Markov model for Web Access Prediction
by: Chimphlee, Siriporn, et al.
Published: (2006)

Feature selection for traditional Malay musical instrument sound classification using rough set
by: Senan, Norhalina
Published: (2013)

Feature Selections and Classification Model for Customer Churn

Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle
by: Hao, Wang, et al.

Empirical analysis of rough set categorical clustering techniques based on rough purity and value set
by: Uddin, Jamal
Published: (2017)

Implementation of KM strategies in the Malaysian telecommunication industry: An empirical analysis
by: Chong, Chin Wei, et al.
Published: (2007)

Dynamics classifications of extreme doubly stochastic quadratic operators on 2D simplex
by: Abdulghafor, Rawad Abdulkhaleq Abdulmolla, et al.
Published: (2016)

Enhancing Classification Algorithms with Metaheuristic Technique
by: Cokro, Nurwinto, et al.
Published: (2024)

Finding granular features using rough-PSO in IDS
by: Zainal, Anazida, et al.
Published: (2007)

Rough set based clustering for finding relevant document /
by: Ching, Ng Choon
Published: (2013)

A review of feature selection on text classification
by: Nur Syafiqah, Mohd Nafis, et al.
Published: (2018)

Rough fuzzy approach for web usage mining
by: Chimphlee, Siriporn, et al.
Published: (2006)

Anomaly-based intrusion detection using fuzzy rough clustering
by: Chimphlee, Witcha, et al.
Published: (2006)