The use of data mining techniques to discover knowledge from animal and food data: Examples related to the cattle industry.

Belen-Garcia A.

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The use of data mining techniques to discover knowledge from animal and food data: Examples related to the cattle industry.

机译：使用数据挖掘技术从动物和食物数据中发现知识：与牛产业有关的示例。

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There is increased concern in our society regarding food production, animal welfare, food safety and traceability as well as environmental and climate change issues. Data collection, analysis and interpretation are crucial for the implementation of food safety controls, animal health, public health and environmental programs. Data Mining (DM), also known as Knowledge Discovering in Databases (KDD) has emerged as an important analyses method for the identification of relationships between various elements of the collected information in order to discover useful knowledge and support strategic decision making systems and sustainable development in the animal, food and health industries. This manuscript explores these important issues using examples related to the cattle industry

机译：我们社会对食品生产，动物福利，食品安全和可追溯性以及环境和气候变化问题的关注日益增加。数据收集，分析和解释对于实施食品安全控制，动物健康，公共卫生和环境计划至关重要。数据挖掘（DM）也被称为数据库知识发现（KDD），它已成为一种重要的分析方法，可用于识别所收集信息的各个元素之间的关系，从而发现有用的知识并支持战略决策系统和可持续发展。在动物，食品和保健行业。本手稿以与养牛业有关的实例探讨了这些重要问题

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《Trends in Food Science & Technology》 |2013年第2期|共7页
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Belen-Garcia A.;
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1. The use of data mining techniques to discover knowledge from animal and food data: Examples related to the cattle industry. [J] . Belen-Garcia A. Trends in Food Science & Technology . 2013,第2期

机译：使用数据挖掘技术从动物和食物数据中发现知识：与牛产业有关的示例。
2. Using Data Mining Techniques to Discover Bias Patterns in Missing Data [J] . MONICA CHIARINI TREMBLAY, KAUSHIK DUTTA, DEBRA VANDERMEER ACM journal of data and information quality . 2010,第1期

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3. Cluster Analysis – Data Mining Technique for Discovering Natural Groupings in the Data [J] . Elena Pastuchová, ?tefánia Václavíková Journal of Electrical Engineering . 2013,第2期

机译：聚类分析–用于发现数据中自然分组的数据挖掘技术
4. Combining web data extraction and data mining techniques to discover knowledge [C] . Nathalie A. Bouldoukian 2018 IEEE Middle East and North Africa Communications Conference . 2018

机译：结合Web数据提取和数据挖掘技术来发现知识
5. Data mining techniques applied to Texas Woman's University's enrollment data: What can the data tell us? [D] . Yang, Ming 2006

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6. Use of data mining techniques to investigate disease risk classification as a proxy for compromised biosecurity of cattle herds in Wales [O] . Ángel Ortiz-Pelaez, Dirk U Pfeiffer 2008

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7. Data mining of fractured experimental data using neurofuzzy logic-discovering and integrating knowledge hidden in multiple formulation databases for a fluid-bed granulation process. [O] . Shao Qun, Rowe Raymond C., York Peter 2008

机译：使用神经模糊逻辑发现和集成隐藏在流化床制粒过程多个配方数据库中的知识，对破裂的实验数据进行数据挖掘。
8. Discovering System Health Anomalies Using Data Mining Techniques [R] . Sriastava, Ashok, N. 2005

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The use of data mining techniques to discover knowledge from animal and food data: Examples related to the cattle industry.

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