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J. Vijaya · Study

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J. Vijaya

9 works· latest 2022· 3 institutionscluster: provisionalORCID 0000-0002-9948-8573

h-index9

i107

Citations228

Works here9

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Most cited in this library

An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing2017 · 63 citations
Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector2018 · 46 citations
Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network2018 · 35 citations
Boost customer churn prediction in the insurance industry using meta-heuristic models2022 · 22 citations
Improved Churn Prediction Based on Supervised and Unsupervised Hybrid Data Mining System2017 · 19 citations

Works

9 shown

Boost customer churn prediction in the insurance industry using meta-heuristic models

International Journal of Information Technology·2022·2 authors

22citations

Methodologies used for Customer Churn Detection in Customer Relationship Management

International Conference on Technological Advancements and Innovations (ICTAI)·2021·2 authors·other

12citations

A study of feature selection techniques for predicting customer retention in telecommunication sector

International Journal of Business Information Systems·2019·1 author

9citations

A study of feature selection techniques for predicting customer retention in telecommunication sector

International Journal of Business Information Systems·2019·1 author

9citations

Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector

Computing·2018·1 author

46citations

Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network

Neural Computing and Applications·2018·1 author

35citations

Improved Churn Prediction Based on Supervised and Unsupervised Hybrid Data Mining System

Lecture notes in networks and systems·2017·1 author·chapter

19citations

An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing

Cluster Computing·2017·1 author

63citations

Customer Segmentation by Various Clustering Approaches and Building an Effective Hybrid Learning System on Churn Prediction Dataset

Advances in intelligent systems and computing·2017·1 author·chapter

13citations