Abstract
This paper provides an in-depth analysis and research on the application of web discrete data mining in modeling complex systems for English translation. This paper adopts association rule mining, clustering, and classification methods to deeply analyze English translation, mine the interesting rules in it, find out the interinfluence relationship of system modeling and the relationship between translation behaviors, analyze and compare different data mining methods, and make an evaluation of the mining results to provide a scientific reference basis for the relevant decision-making scheme of the English translation. The paper elaborates the relevant concepts of data mining and the theoretical basis and analysis process of association rule mining, clustering rule mining, and classification rule mining methods. The application of data mining techniques in modeling and analysis of complex systems of the English translation is highlighted, and these three mining methods are used to analyze a set of English sample data: through the analysis of the correlation of different English translations, some feasible suggestions are provided for the order of translation settings; through the analysis of clustering of English translations, the shortcomings of traditional translation methods are made up; through the analysis of the factors affecting the accuracy of English translations factors, a useful reference is provided on how to improve English translation and then improve the quality of translation.
Highlights
With the development of information technology and database technology, data warehouses and databases have been widely used in different fields, such as product sales, information management, and enterprise management. e rapid growth of data volume has put forward new requirements for data query, data storage, and data management, and there is an urgent need for a new tool to intelligently mine valuable information and knowledge from the massive data
Data mining techniques have been widely used and achieved in various industries, and it is necessary to apply data mining techniques to translate through online English translation platforms, to mine and analyze translation data, and to explore the correlation between the English translation and various factors using model training results, which is of great value to translation [5]
English Translation System Modeling Application Implementation. It mainly discusses the research on the application of data mining related algorithms in modeling English translation systems, from three perspectives of association rules, clustering rules, and classification rules, the algorithm suitable for this case is selected to mine the hidden knowledge rules in English translation, and the code implementation of Apriorism algorithm and K-means algorithm in python language is chosen for the translation data in the case
Summary
With the development of information technology and database technology, data warehouses and databases have been widely used in different fields, such as product sales, information management, and enterprise management. e rapid growth of data volume has put forward new requirements for data query, data storage, and data management, and there is an urgent need for a new tool to intelligently mine valuable information and knowledge from the massive data. By translating through online English translation platforms, data mining technology is used to mine and analyze translation data, and the correlation between the English translation and various factors is explored using model training results, which is of great value to translation. All of these conditions help to break away from traditional translation teaching and realize personalized translation [3]. Data mining techniques have been widely used and achieved in various industries, and it is necessary to apply data mining techniques to translate through online English translation platforms, to mine and analyze translation data, and to explore the correlation between the English translation and various factors using model training results, which is of great value to translation [5]. Deep translation technology has been widely used in various fields
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