Abstract
With the rapid development of database and computer network technology, traditional data analysis methods can no longer meet the needs of people’s lives and work. The traditional data method only uses statistical analysis theory to perform simple summary statistics on the data, without considering the ambiguity and uncertainty of the data. In order to solve the shortcomings of the existing methods, big data came into being. High-dimensional, uncertain, vague, and noisy data are used to mine potential, implicit, and useful information and patterns to improve people’s market decision-making capabilities and assist people in giving feedback on the basis of past experience. The future development trend and so on. Although attempts to innovate in English teaching are continuing, there are still shortcomings. In order to solve the problem of English innovation, this paper adopts the Apriori algorithm and will conduct research on English innovation. Using the methods in this article, through the combination and calculation of the previous innovative methods of English teaching, we find a set of reasonable English teaching methods. According to calculations, this method can improve students’ learning ability by 14%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
