| 汪雪君,沈怡,杨慧元.数据挖掘技术在食品检测数据中的探索[J].中国药事,2019,33(3):259-262 |
| 数据挖掘技术在食品检测数据中的探索 |
| Exploration of Data Mining Technology in Data of Food Control |
| 投稿时间：2018-03-21 |
| DOI：10.16153/j.1002-7777.2019.03.004 |
| 中文关键词: 关联性 时序性 食品安全 数据挖掘 |
| 英文关键词: association time sequence food safety data mining |
| 基金项目: |
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| 中文摘要: |
| 目的：将数据挖掘技术应用到食品安全检测数据中。方法：首先，通过对食品安全检测的原始数据进行选择、清洗、转换和分类等预处理，转换成数据挖掘方法所需要的数据格式。然后，结合不同的数据挖掘方法，研究食品安全在时间、地区、种类等的关联性，以及在时间上的时序性。结果与结论：通过数据挖掘技术，探索食品安全环节潜在的风险点。 |
| 英文摘要: |
| Objective:This paper applied data mining technology to the data of food control. Methods:First of all, the original data of food safety control were pretreated through the methods of selection, cleaning, conversion and classification and were converted into the required data format of data mining. Then, association of food safety with time, area, types, as well as time sequence were analyzed by different data mining methods. Results and Conclusion:Potential risks of food safety were explored by data mining technology in data of food control. |
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