DocumentCode
2543063
Title
Study of afforestation design based on association rules
Author
Shan Yao ; Zhongke Feng
Author_Institution
Comput. & Inf. Eng., Beijing Univ. of Agric., Beijing, China
fYear
2012
fDate
29-31 May 2012
Firstpage
1555
Lastpage
1558
Abstract
In order to improve the accuracy of forest decision-making and design the technical measures for the forest types, tree species, planting density, planting mixing and afforestation methods technically and economically. This paper adopts data mining technique based on association rules to analysis the relevance among specification of soil preparation, planting spacing and the ratio of mixing plantation, and discovers the afforestation knowledge from afforestation survey design data. This research realizes the support to afforestation decision analysis by using association rules, and provides the reference for the afforestation decision support.
Keywords
data mining; decision support systems; forestry; vegetation; afforestation decision support; afforestation knowledge discovery; afforestation survey design data; association rules; data mining technique; forest decision-making; forest types; mixing plantation ratio; planting density; planting mixing; planting spacing specification; soil preparation specification; technical measures; tree species; Algorithm design and analysis; Association rules; Databases; Forestry; Soil; Vegetation; Afforestation design; Association rules; Data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6233832
Filename
6233832
Link To Document