0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
A New Time Series Approach in Churn Prediction with Discriminatory Intervals
Authors :
Hedieh Ahmadi
1
Seyed Mohammad Hossein Hasheminejad
2
1- Department of Computer Engineering, Alzahra University
2- Department of Computer Engineering, Alzahra University
Keywords :
churn prediction, time series classification, discriminatory intervals
Abstract :
Nowadays, the markets have become more competitive. Considering the costs of attracting new customers, organizations want to find churn customers as accurately as possible. In this paper, we propose an approach using time series classification for the churn prediction problem. Most of the previous research uses non-sequential data and doesn't consider customer behavior in time. Our approach uses a combination of discriminatory intervals and kernel transformers. We use an open-source Retail Transaction dataset. The results show that our algorithm, with sufficient training time, finds the churn customers. We compare our method with other time series classification algorithms; it's almost 16% higher than the others in the Sensitivity metric. It means that our algorithm finds more customers that truly churn.
Papers List
List of archived papers
Enhancing Cloud Security with Federated CNN-LSTM: A Novel Approach to Intrusion Detection
Reyhaneh Ilaghi - Raheleh Ilaghi - Fereshteh Rahmani - Seyyed hamid Ghafoori
Improving LoRaWAN Scalability for IoT Applications using Context Information
Hamed Mahmoudi - Behrouz ShahgholiGhahfarokhi
Reliability Evaluation of 4:2 Compressors Based on Hammock Networks
Farshad Safaei - Mohammad mahdi Emadi Kouchak - Sara Talebpour
Spatio-Temporal Graph Neural Networks for Accurate Crime Prediction
Rojan Roshankar - Mohammad Reza Keyvanpour
A Robust Network for Embedded Traffic Sign Recognation.
Omid Nejati Manzari - Shahriar Baradaran Shokouhi
A Survey on Semi-Automated and Automated Approaches for Video Annotation
Samin Zare - Mehran Yazdi
AVID: A VARIATIONAL INFERENCE DELIBERATION FOR META-LEARNING
Alireza Javaheri - Arsham Gholamzadeh Khoee - Saeed Reza Kheradpisheh - Hadi Farahani - Mohammad Ganjtabesh
Hate Sentiment Recognition System For Persian Language
Pegah Shams jey - Arash Hemmati - Ramin Toosi - Mohammad ali Akhaee
Overview of Electric Vehicles Charging Stations in Smart Grids
Mohammed Wadi - Wisam Elmasry - Mohammed Jouda - Hossein Shahinzadeh - Gevork B. Gharehpetian
Virtual machine consolidation using SLA-aware genetic algorithm placement for data centers with non-stationary workloads
Hossein Monshizadeh Naeen
more
Samin Hamayesh - Version 41.5.3