异常农产品价格数据的检测.PDF

2010 19 4 1,2 1 1,2 1,2 (1. 230031;2 230027) Detecting Abnormal Agriculture Price Data 1,2 1 1,2 1,2 YING Lei , WANG Ru-Jing , YANG Zi-Wei , SU Ya-Ru (1.Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031, China; 2. Department of Automation, University of Science and Technology of China, Hefei 20027, China) Abstract: Agriculture price data from vertical search engines are collected from various agricultural sites. Due to various factors, there are a large number of abnormal data. Since the characteristics of these agriculture price data make traditional methods of detecting abnormal data not work well, this paper presents a new method of detecting abnormal data. Practical applications show that this method can achieve good results. Keywords: abnormal data; detecting vertical search engines; agriculture; price data 1 2 [1] 2.1 ( )