基于规则的离群数据挖掘在病虫害预测中的应用研究

摘要

In the article the stray data mining elementary theory as well as the classical algorithm are described,and according to the characteristics of data in the past dozens years, they made a theory that the use of outlier data mining models to predict diseases and insect pests.The experiment proved that through the excavation of the experimental data,the result of forecast is very accurate, so that the forecast efficiency of the diseases and insect pests can be improved.%描述了离群数据挖掘的基本理论以及经典算法,提出附加约束的基于规则的离群数据挖掘算法,并根据过去几十年数据的特点,提出了一种运用离群数据挖掘进行病虫害预测的模型.实验证明,通过对实际病虫害气象数据进行挖掘,预测的结果合理,预测效率提高.