This paper introduces the design ideas, architecture and implementation points of association rule mining in data entry and proofreading systems. Keywords: data mining; association rules; association rule reference table. Accurate data entry and efficient proofreading are the basis for product data analysis in various industries. Improving the accuracy of data entry plays an important supporting role in product data analysis in various industries and is the scientific basis for later data analysis. On the basis of traditional data verification methods, the use of association rules in data mining knowledge can more effectively improve the accuracy of data entry and the efficiency of proofreading. Among the knowledge models of data mining, the association rule model is a relatively important one. The concept of association rules was proposed by Agrawal, Imielinski and others. It is a relatively simple but very practical rule in data mining technology. Association rule mining technology can be used to provide support for data entry, proofreading and processing in various industries, thereby improving the accuracy of data processing.
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