Effective feature representation using symbolic approach for classification and clustering of big data
作者：
Highlights：
• Feature selection and extraction to be looked into with a new data perspective.
• Symbolic data analysis is efficient in representing the underlying data concisely.
• Ensemble techniques required to make classification techniques more efficient.
• Healthcare tweets data analysis necessary to facilitate personalised treatment.
摘要
•Feature selection and extraction to be looked into with a new data perspective.•Symbolic data analysis is efficient in representing the underlying data concisely.•Ensemble techniques required to make classification techniques more efficient.•Healthcare tweets data analysis necessary to facilitate personalised treatment.
论文关键词：Big data,Feature selection,Sensor data,Summarization,Symbolic data,Twitter data
论文评审过程：Received 18 April 2020, Revised 15 September 2020, Accepted 21 January 2021, Available online 2 February 2021, Version of Record 2 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114658
