Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach.
作者：
Highlights：
• Accurate home detection is crucial for mobility analysis with CDR data.
• We benchmark existing heuristics for home prediction with CDR data.
• Our detailed validation data strongly improves on prior validation attempts.
• Labelled predictive modelling outperforms the heuristic approach.
• Social network variables and models improve the predictive performance.
摘要
•Accurate home detection is crucial for mobility analysis with CDR data.•We benchmark existing heuristics for home prediction with CDR data.•Our detailed validation data strongly improves on prior validation attempts.•Labelled predictive modelling outperforms the heuristic approach.•Social network variables and models improve the predictive performance.
论文关键词：Human mobility,Home detection,CDR data,Benchmarking,Predictive analytics,Social network analysis
论文评审过程：Received 10 September 2020, Revised 18 November 2020, Accepted 14 December 2020, Available online 24 December 2020, Version of Record 16 January 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114507
