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Applying data mining methods to enhance the safety of animal food product
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S Siadati   , MJ Tarokh , M Soleimani * |
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Abstract: (7104 Views) |
| Increase in public concern about food safety, and the importance of factors such as food production, animal health, food safety and traceability of food products to more shows.
Collecting, analyzing and interpreting information critical role in the control of food safety, animal health, public health and the environment. Data Mining is that as extracting knowledge from databases (KDD: Knowledge Discovering in Databases) is also known, is one of the most important analytical methods to identify the relationships between the various elements of the data collected in order to discover useful knowledge and decision support systems for strategic and sustainable development of the livestock, food and health industry.
Mathematical modeling, quantitative analysis of data and new algorithms could identify new links between different data which, in turn, leads to competitive advantage.
Tech data warehouse can be used to analyze multi-dimensional Dataset in order to make an important decision is to be used. Moreover, the prediction method can be used as a source of competitive advantage in today's business environment is considered.
Keyword: Data mining, Knowledge discovering, Database, Data management, Cattle industry |
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| Keywords: Data mining, Knowledge discovering, Database, Data management, Cattle industry |
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Full-Text [PDF 237 kb]
(3540 Downloads)
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Article type: Review |
Subject:
nutrition
Received: 2013/03/14 | Accepted: 2013/11/19 | Published: 2013/11/19
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