相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector
Irina V. Pustokhina et al.
COMPLEX & INTELLIGENT SYSTEMS (2023)
TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms
K. Muthamil Sudar et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2023)
An Auction-Based Bid Prediction Mechanism for Fog-Cloud Offloading Using Q-Learning
Reza Besharati et al.
COMPLEXITY (2023)
Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment
Omer Faruk Seymen et al.
GAZI UNIVERSITY JOURNAL OF SCIENCE (2023)
Customer churn prediction system: a machine learning approach
Praveen Lalwani et al.
COMPUTING (2022)
Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector
Anouar Dalli
MATHEMATICAL PROBLEMS IN ENGINEERING (2022)
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry
Syed Fakhar Bilal et al.
PEERJ COMPUTER SCIENCE (2022)
Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy
Adarsh Vulli et al.
SENSORS (2022)
An optimal context-aware content-based movie recommender system using genetic algorithm: a case study on MovieLens dataset
Alireza Abdolmaleki et al.
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE (2022)
A grid search optimized extreme learning machine approach for customer churn prediction
Fatma Önay Koçoğlu et al.
Journal of Engineering Research (2022)
6G Driven Fast Computational Networking Framework for Healthcare Applications
Parvathaneni Naga Srinivasu et al.
IEEE ACCESS (2022)
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Tianyuan Zhang et al.
FUTURE INTERNET (2022)
Applying over 100 classifiers for churn prediction in telecom companies
Debjyoti Das Adhikary et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
Telecom churn prediction and used techniques, datasets and performance measures: a review
Hemlata Jain et al.
TELECOMMUNICATION SYSTEMS (2021)
E-customer loyalty in gamified trusted store platforms: a case study analysis in Iran
Ehsan Hosseini et al.
Bulletin of Electrical Engineering and Informatics (2021)
Deep Learning as a Vector Embedding Model for Customer Churn
Tjeng Wawan Cenggoro et al.
5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE 2020 (2021)
Application of deep reinforcement learning to intrusion detection for supervised problems
Manuel Lopez-Martin et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Deep reinforcement learning for imbalanced classification
Enlu Lin et al.
APPLIED INTELLIGENCE (2020)
Chum Prediction in Telecommunication using Logistic Regression and Logit Boost
Hemlata Jain et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)
Analysis of Customer Churn Prediction in Telecom Sector Using CART Algorithm
Sandeep Rai et al.
FIRST INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE (2020)
Incorporating textual information in customer churn prediction models based on a convolutional neural network
Arno De Caigny et al.
INTERNATIONAL JOURNAL OF FORECASTING (2020)
User Modeling for Churn Prediction in E-Commerce
Patrik Berger et al.
IEEE INTELLIGENT SYSTEMS (2019)
Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning
Zhixiong Li et al.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME (2019)
Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling
Alrence Santiago Halibas et al.
2019 4TH MEC INTERNATIONAL CONFERENCE ON BIG DATA AND SMART CITY (ICBDSC) (2019)
Customer churn prediction in telecommunication industry using data certainty
Adnan Amin et al.
JOURNAL OF BUSINESS RESEARCH (2019)
Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods
Adnan Amin et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2019)
Customer churn prediction in telecom using machine learning in big data platform
Abdelrahim Kasem Ahmad et al.
JOURNAL OF BIG DATA (2019)
Particle classification optimization-based BP network for telecommunication customer churn prediction
Ruiyun Yu et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Benchmarking sampling techniques for imbalance learning in churn prediction
Bing Zhu et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2018)
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
Arno De Caigny et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
On the operational efficiency of different feature types for telco Churn prediction
Sandra Mitrovic et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
Improved credit card churn prediction based on rough clustering and supervised learning techniques
R. Rajamohamed et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2018)
Just-in-time Customer Churn Prediction: With and Without Data Transformation
Adnan Amin et al.
2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2018)
Customer churn prediction in the telecommunication sector using a rough set approach
Adnan Amin et al.
NEUROCOMPUTING (2017)
A churn prediction model for prepaid customers in telecom using fuzzy classifiers
Muhammad Azeem et al.
TELECOMMUNICATION SYSTEMS (2017)
Churn prediction on huge telecom data using hybrid firefly based classification
Ammar A. Q. Ahmed et al.
EGYPTIAN INFORMATICS JOURNAL (2017)
A MapReduce-Based Nearest Neighbor Approach for Big-Data-Driven Traffic Flow Prediction
Dawen Xia et al.
IEEE ACCESS (2016)
A comparison of machine learning techniques for customer churn prediction
T. Vafeiadis et al.
SIMULATION MODELLING PRACTICE AND THEORY (2015)
Churn Prediction in Telecommunication Industry Using Rough Set Approach
Adnan Amin et al.
NEW TRENDS IN COMPUTATIONAL COLLECTIVE INTELLIGENCE (2015)
Improved churn prediction in telecommunication industry using data mining techniques
A. Keramati et al.
APPLIED SOFT COMPUTING (2014)
Customer churn prediction in telecommunications
Bingquan Huang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)