摘要： 应用决策树方法获取提高农民专业合作社技术服务能力的规律性认识。通过对合作社的业务数据样本进行分析挖掘和分类，建立基于社员生产能力的决策树分类模型，根据该模型生成规则集，从而发现合作社技术服务管理与主要因素间潜在的规则性知识，为丰富合作社的服务内容、提高合作社的服务能力、实现指导社员合理最优地生产提供可参考的依据。

关键词: 数据挖掘, 农民专业合作社, 决策树, 技术服务

Abstract: This paper applies decision tree method to obtain better service provision in the farmer professional cooperatives. Service data are set up from the traffic data, and the decision tree classification model based on production is built with the knowledge rules generated to find main factors underlying knowledge of the rules. From the rules, the service promotion facts are learned, which enrich the content of the cooperative’s services, far more broaden the service capabilities, and give a better direction on the production.

Key words: data mining, farmer professional cooperative, decision tree, technical service

中图分类号: 

• TP311.13