Social media big data integration: A new approach based on calibration

作者：

Highlights：

• A novel approach to data integration combining online big data and customer surveys.

• The levels of unbalanced responses in online surveys are calibrated via resampling.

• Bayesian Networks propagate rebalanced information performing data integration.

• This approach allows organization to correctly evaluate customer satisfaction.

• Data integration enhances the information quality of the data analytic work.

摘要

•A novel approach to data integration combining online big data and customer surveys.•The levels of unbalanced responses in online surveys are calibrated via resampling.•Bayesian Networks propagate rebalanced information performing data integration.•This approach allows organization to correctly evaluate customer satisfaction.•Data integration enhances the information quality of the data analytic work.

论文关键词：Bayesian networks,Calibration,Data integration,Social media,Information quality (InfoQ),Resampling techniques

论文评审过程：Received 27 April 2017, Revised 21 December 2017, Accepted 24 December 2017, Available online 25 December 2017, Version of Record 29 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.12.044