Application research of data mining technology on growth management of forestry

2012 ◽  
Author(s):  
Yuan Li ◽  
Wenqing Zhang ◽  
Huiqin Yang ◽  
Hui Liu ◽  
Xuning Liu
Keyword(s):  
Data Mining ◽  
Growth Management ◽  
Application Research ◽  
Mining Technology

The Application Research of Data Mining in Research-Oriented Learning Platform Building

2014 ◽  
Vol 548-549 ◽  
pp. 1098-1101
Author(s):  
Chun E Zhang ◽  
Xiao Fang Hou ◽  
Yun Feng Zhang
Keyword(s):  
Data Mining ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Application Research ◽  
Mining Technology ◽  
Learning Platform ◽  
Intended Purpose

With the vigorous development of research-oriented learning in the field of education, more and more educators and institutions begin research and develop the research-oriented learning platform based on web, in order to improve the students' autonomous learning ability. But the platform itself or the information of users given exist many problems, cannot achieve the intended purpose. This paper introduces data mining technology to the research-oriented learning platform building.

Application Research of Data Mining Technology on Growth Management of Forestry

2013 ◽  
Vol 846-847 ◽  
pp. 995-998
Author(s):  
Wen Qing Zhang
Keyword(s):  
Data Mining ◽  
Evaluation Model ◽  
Growth Management ◽  
Study Data ◽  
Forest Growth ◽  
Mining Technology ◽  
Planning And Design ◽  
Forestry Management ◽  
Relationship Of ◽  
Forestry Resources

A large number of data have been accumulated in our country during the long-term investigation and statistics of forestry resources, and it has become key problem to find out the relationship of the environment and forest growth from the large number of existing forestry resources data. In this paper, the data mining technology is used in planning and design of forestry resource, and the process of data mining is studied, considering data mining and design process of forestry resource decision, we firstly study data mining technology, then collect the data and perform data processing, select the algorithm of data mining, and establish Bayesian evaluation model, then explain and analyze the decision analysis of forestry results. Practice has proved that data mining methods have improved the accuracy and reliability of decision making of forestry management, and provided new theory, methods and technology for research of growth management of forestry.

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