Abstract
With the continuous development of social economy and people’s living standard, people’s demand for electricity is also increasing day by day, as well as the demand for power supply capability of power supply enterprises and service level of staff. This has brought greater pressure and challenges to power supply enterprises, and the most prominent challenge is how to deal with customer complaints. In order to reduce customer complaints, it is necessary to predict whether customers will complain in the future according to the call track of customers who have already reflected their demands. Therefore, in complaint prediction, frequent pattern mining based on customer call track is particularly important.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
