Related references
Note: Only part of the references are listed.A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning
Nishant Jain et al.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2021)
Cervical cancer classification using convolutional neural networks and extreme learning machines
Ahmed Ghoneim et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Classification of DNA damages on segmented comet assay images using convolutional neural network
Umit Atila et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Diagnosis of diabetes mellitus using artificial neural network and classification and regression tree optimized with genetic algorithm
Ebru Pekel Ozmen et al.
JOURNAL OF FORECASTING (2020)
Chronic Exposure to High Altitude: Synaptic, Astroglial and Memory Changes
Rupali Sharma et al.
SCIENTIFIC REPORTS (2019)
Predictive Modelling of Employee Turnover in Indian IT Industry Using Machine Learning Techniques
Shikha N. Khera et al.
VISION-THE JOURNAL OF BUSINESS PERSPECTIVE (2019)
Customer churn prediction in telecommunication industry using data certainty
Adnan Amin et al.
JOURNAL OF BUSINESS RESEARCH (2019)
A big data analytics model for customer churn prediction in the retiree segment
Farid Shirazi et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2019)
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)
Time series for early churn detection: Using similarity based classification for dynamic networks
Maria Oskarsdottir et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
A social model based on customers' profiles for analyzing the churning process in the mobile market of data plans
Marcos Postigo-Boix et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2018)
Convolutional neural networks: an overview and application in radiology
Rikiya Yamashita et al.
INSIGHTS INTO IMAGING (2018)
Employee turnover forecasting for human resource management based on time series analysis
Xiaojuan Zhu et al.
JOURNAL OF APPLIED STATISTICS (2017)
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture
Maria Oskarsdottir et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Customer churn prediction in the telecommunication sector using a rough set approach
Adnan Amin et al.
NEUROCOMPUTING (2017)
A data mining approach for modeling churn behavior via RFM model in specialized clinics Case study: A public sector hospital in Tehran
Mehdi Mohammadzadeh et al.
9TH INTERNATIONAL CONFERENCE ON THEORY AND APPLICATION OF SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTION, ICSCCW 2017 (2017)
Churn prediction on huge telecom data using hybrid firefly based classification
Ammar A. Q. Ahmed et al.
EGYPTIAN INFORMATICS JOURNAL (2017)
Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry
Niccolo Gordini et al.
INDUSTRIAL MARKETING MANAGEMENT (2017)
A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry
Kristof Coussement et al.
DECISION SUPPORT SYSTEMS (2017)
Employee churn prediction
V. Vijaya Saradhi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
Kemal Polat et al.
APPLIED MATHEMATICS AND COMPUTATION (2007)
Share Paper
