CN109657123A - 一种基于信息熵的食品安全事件聚类分析方法 - Google Patents
一种基于信息熵的食品安全事件聚类分析方法 Download PDFInfo
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- CN109657123A CN109657123A CN201811523039.6A CN201811523039A CN109657123A CN 109657123 A CN109657123 A CN 109657123A CN 201811523039 A CN201811523039 A CN 201811523039A CN 109657123 A CN109657123 A CN 109657123A
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- 235000013305 food Nutrition 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 19
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- 230000006872 improvement Effects 0.000 claims abstract description 6
- 239000011159 matrix material Substances 0.000 claims description 21
- 238000013480 data collection Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 5
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- 230000000977 initiatory effect Effects 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 claims 1
- 238000007405 data analysis Methods 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 abstract 1
- 230000003014 reinforcing effect Effects 0.000 abstract 1
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- 239000000654 additive Substances 0.000 description 8
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- 235000013372 meat Nutrition 0.000 description 4
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- 235000011888 snacks Nutrition 0.000 description 3
- FFBHFFJDDLITSX-UHFFFAOYSA-N benzyl N-[2-hydroxy-4-(3-oxomorpholin-4-yl)phenyl]carbamate Chemical compound OC1=C(NC(=O)OCC2=CC=CC=C2)C=CC(=C1)N1CCOCC1=O FFBHFFJDDLITSX-UHFFFAOYSA-N 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 235000021393 food security Nutrition 0.000 description 2
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- 235000010469 Glycine max Nutrition 0.000 description 1
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- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003183 carcinogenic agent Substances 0.000 description 1
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- 235000013399 edible fruits Nutrition 0.000 description 1
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- 238000012544 monitoring process Methods 0.000 description 1
- 238000000275 quality assurance Methods 0.000 description 1
- 231100000279 safety data Toxicity 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Human Resources & Organizations (AREA)
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- Entrepreneurship & Innovation (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
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Abstract
Description
日期 | 地区 | 食品品牌 | 食品种类 | 不安全因素 |
2017年 | 未知 | 未知品牌 | 中药 | 不合格 |
2017年 | 未知 | 三只松鼠 | 饮品 | 添加剂 |
2017年 | 陕西 | 未知品牌 | 饮品 | 大肠菌 |
2016年 | 多地区 | 未知品牌 | 肉类 | 淋巴肉 |
…… | …… | …… | …… | …… |
日期 | 地区 | 食品品牌 | 食品种类 | 不安全因素 |
2006 | 北京 | 未知品牌 | 零食 | 添加剂 |
2011 | 北京 | 未知品牌 | 饮品 | 不合格 |
2011 | 广东 | 未知品牌 | 肉类 | 致癌物 |
2012 | 广东 | 未知品牌 | 粮油 | 不合格 |
2011 | 山东 | 未知品牌 | 水产品 | 添加剂 |
2012 | 山东 | 未知品牌 | 水果 | 农药 |
2009 | 浙江 | 未知品牌 | 饮品 | 添加剂 |
2012 | 江苏 | 未知品牌 | 零食 | 添加剂 |
2011 | 上海 | 未知品牌 | 零食 | 添加剂 |
2012 | 上海 | 未知品牌 | 饮品 | 添加剂 |
2012 | 福建 | 未知品牌 | 肉类 | 不合格 |
2012 | 福建 | 未知品牌 | 饮品 | 不合格 |
2011 | 四川 | 未知品牌 | 粮油 | 不合格 |
2013 | 湖南 | 未知品牌 | 粮油 | 不合格 |
2009 | 湖北 | 未知品牌 | 粮油 | 添加剂 |
Claims (3)
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CN201811523039.6A CN109657123B (zh) | 2018-12-13 | 2018-12-13 | 一种基于信息熵的食品安全事件聚类分析方法 |
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CN201811523039.6A CN109657123B (zh) | 2018-12-13 | 2018-12-13 | 一种基于信息熵的食品安全事件聚类分析方法 |
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CN109657123A true CN109657123A (zh) | 2019-04-19 |
CN109657123B CN109657123B (zh) | 2022-10-11 |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112270191A (zh) * | 2020-11-18 | 2021-01-26 | 国网北京市电力公司 | 提取工单文本主题的方法及装置 |
CN113239859A (zh) * | 2021-05-28 | 2021-08-10 | 合肥工业大学 | 一种焦点引导的人脸子空间模糊聚类方法及系统 |
CN117670378A (zh) * | 2024-02-02 | 2024-03-08 | 烟台市食品药品检验检测中心(烟台市药品不良反应监测中心、烟台市粮油质量检测中心) | 一种基于大数据的食品安全监控方法及系统 |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140075327A1 (en) * | 2012-09-07 | 2014-03-13 | Splunk Inc. | Visualization of data from clusters |
CN106022359A (zh) * | 2016-05-12 | 2016-10-12 | 武汉理工大学 | 基于有序信息熵的模糊熵空间聚类分析方法 |
CN107220831A (zh) * | 2017-04-06 | 2017-09-29 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | 一种基于防伪溯源系统的用户群体划分方法及系统 |
-
2018
- 2018-12-13 CN CN201811523039.6A patent/CN109657123B/zh active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140075327A1 (en) * | 2012-09-07 | 2014-03-13 | Splunk Inc. | Visualization of data from clusters |
CN106022359A (zh) * | 2016-05-12 | 2016-10-12 | 武汉理工大学 | 基于有序信息熵的模糊熵空间聚类分析方法 |
CN107220831A (zh) * | 2017-04-06 | 2017-09-29 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | 一种基于防伪溯源系统的用户群体划分方法及系统 |
Non-Patent Citations (1)
Title |
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小田大梦想: "Scrapy框架流程图解析", 《公开网址:HTTPS://BLOG.CSDN.NET/QQ_37143745/ARTICLE/DETAILS/80996707》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112270191A (zh) * | 2020-11-18 | 2021-01-26 | 国网北京市电力公司 | 提取工单文本主题的方法及装置 |
CN113239859A (zh) * | 2021-05-28 | 2021-08-10 | 合肥工业大学 | 一种焦点引导的人脸子空间模糊聚类方法及系统 |
CN117670378A (zh) * | 2024-02-02 | 2024-03-08 | 烟台市食品药品检验检测中心(烟台市药品不良反应监测中心、烟台市粮油质量检测中心) | 一种基于大数据的食品安全监控方法及系统 |
CN117670378B (zh) * | 2024-02-02 | 2024-04-30 | 烟台市食品药品检验检测中心(烟台市药品不良反应监测中心、烟台市粮油质量检测中心) | 一种基于大数据的食品安全监控方法及系统 |
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Application publication date: 20190419 Assignee: FUJIAN LVQUAN FOOD Co.,Ltd. Assignor: XIAMEN UNIVERSITY TAN KAH KEE College Contract record no.: X2023980050300 Denomination of invention: A Clustering Analysis Method for Food Safety Events Based on Information Entropy Granted publication date: 20221011 License type: Common License Record date: 20231226 Application publication date: 20190419 Assignee: FUJIAN MEIYI FOODS Co.,Ltd. Assignor: XIAMEN UNIVERSITY TAN KAH KEE College Contract record no.: X2023980050288 Denomination of invention: A Clustering Analysis Method for Food Safety Events Based on Information Entropy Granted publication date: 20221011 License type: Common License Record date: 20231226 |
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