FSOLAP: A fuzzy logic-based spatial OLAP framework for effective predictive analytics

作者：

Highlights：

• Fast, effective, and accurate prediction of data have become more essential than ever.

• FSOLAP, is a new framework based on SOLAP and fuzzy logic technologies, is proposed.

• Fuzzy Logic, Spatial OLAP, FIS, and FKB are integrated to support predictive analysis.

• Experimental results show that the FSOLAP is considerably more accurate and scalable.

摘要

•Fast, effective, and accurate prediction of data have become more essential than ever.•FSOLAP, is a new framework based on SOLAP and fuzzy logic technologies, is proposed.•Fuzzy Logic, Spatial OLAP, FIS, and FKB are integrated to support predictive analysis.•Experimental results show that the FSOLAP is considerably more accurate and scalable.

论文关键词：Fuzzy spatiotemporal data mining,Spatiotemporal predictive analytics,Fuzzy spatiotemporal OLAP,Fuzzy association rule mining,Fuzzy knowledge base,Fuzzy inference system

论文评审过程：Received 25 April 2022, Revised 28 July 2022, Accepted 1 October 2022, Available online 7 October 2022, Version of Record 17 October 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118961