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Application research of data mining technology on growth management of forestry

机译：数据挖掘技术在林业增长管理中的应用研究

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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.
机译：在对林业资源的长期调查统计中，我国已经积累了大量的数据，从大量现有的林业资源数据中寻找环境与森林生长的关系已成为关键问题。本文将数据挖掘技术用于林业资源的规划设计，研究了数据挖掘的过程，在考虑数据挖掘和林业资源决策设计过程的基础上，首先研究数据挖掘技术，然后进行数据收集和研究。执行数据处理，选择数据挖掘算法，建立贝叶斯评估模型，然后解释和分析林业结果的决策分析。实践证明，数据挖掘方法提高了林业管理决策的准确性和可靠性，为林业增长管理研究提供了新的理论，方法和技术。

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