In this paper, ARMiner, a data mining tool based on association rules, isintroduced. Beginning with the system architecture, the characteristics and functions are dis-cussed in details, including data transfer, concep...In this paper, ARMiner, a data mining tool based on association rules, isintroduced. Beginning with the system architecture, the characteristics and functions are dis-cussed in details, including data transfer, concept hierarchy generalization, mining rules withnegative items and the re-development of the system. An example of the tool's application isalso shown. Finally, some issues for future research are presented.展开更多
Correction to:International Journal of Disaster Risk Science https://doi.org/10.1007/s13753-025-00619-4.In this article the author’s name Armine Benmokhtar was incorrectly written as Armine Belmokhtar.The original ar...Correction to:International Journal of Disaster Risk Science https://doi.org/10.1007/s13753-025-00619-4.In this article the author’s name Armine Benmokhtar was incorrectly written as Armine Belmokhtar.The original article has been corrected.展开更多
文摘In this paper, ARMiner, a data mining tool based on association rules, isintroduced. Beginning with the system architecture, the characteristics and functions are dis-cussed in details, including data transfer, concept hierarchy generalization, mining rules withnegative items and the re-development of the system. An example of the tool's application isalso shown. Finally, some issues for future research are presented.
文摘Correction to:International Journal of Disaster Risk Science https://doi.org/10.1007/s13753-025-00619-4.In this article the author’s name Armine Benmokhtar was incorrectly written as Armine Belmokhtar.The original article has been corrected.