Applying data mining techniques for spatial distribution analysis of plant species co-occurrences
作者：
Highlights：
• We used association rules for extracting patterns of co-occurrences.
• We obtained pairs and groups of species with positive and negative correlation.
• One multiscale, spatially explicit and multi-species method was proposed.
• Data mining can be useful to produce lists of species with co-occurrences.
摘要
•We used association rules for extracting patterns of co-occurrences.•We obtained pairs and groups of species with positive and negative correlation.•One multiscale, spatially explicit and multi-species method was proposed.•Data mining can be useful to produce lists of species with co-occurrences.
论文关键词：Data analysis,Data mining,Association rules,Knowledge management applications,Knowledge discovery
论文评审过程：Received 14 July 2014, Revised 17 August 2015, Accepted 18 August 2015, Available online 28 August 2015, Version of Record 20 October 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.031
