DocumentCode
480142
Title
Application of MVNR Algorithm on Data Analyses of Forest Inventory
Author
Ning, Han ; Danwa, Song ; Chen, Chen
Author_Institution
Eng. Sch., Beijing Forestry Univ., Beijing
Volume
4
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
344
Lastpage
347
Abstract
This paper emphasizes particularly on introduction of the application of non-Redundant Rules Algorithm on Data Analyses of Forest Inventory. By establishing the data mining model, MVNR Algorithm is applied to analyzing the relation of species, origin, age, chest, circumference, height and canopy density of trees. The results provide the best valuable information for forestation programming management. The promising prospect of the application of this method in the investigation and analysis of data for the forestry resources has been proved.
Keywords
data analysis; data mining; forestry; data analyses; data mining; forest inventory; forestation programming management; forestry resources; nonredundant rules algorithm; Algorithm design and analysis; Application software; Association rules; Data analysis; Data engineering; Data mining; Educational institutions; Forestry; Resource management; Software algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.947
Filename
4722631
Link To Document