Open AccessTeaching Reform Strategy of Ideological and Political Course Based on Big Data-Taking “Digital Electronic Technology” as an Example
Author(s) -
Guokun Xie,
Yang Jia
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/3/032003
Subject(s) - big data , database transaction , ideology , computer science , data science , information technology , politics , data mining , database , political science , law , operating system
The spiritual breath is industrial knowledge, the number of people, the number of people, the data knowledge, the method, and the polymorphism. The amount of data possessed by human beings is getting larger and larger. There may be a lot of information that we are interested in hiding behind the amount of data. How to effectively use digital technology to mine this information has become a problem to be solved. There are two core technologies in digital technology, data mining technology and data fusion technology. The purpose of this article is to conduct research and analysis based on (BO) the teaching reform of big data ideological and political (IAP) courses. This paper recommends using the traditional algorithm FP-growth algorithm to solve the digital technology problems commonly used in big data. The FP growth algorithm has the widest range of applications. Compress the transaction database into the FP tree for processing. It also uses the Aprili algorithm. Instead of generating frequent candidate itemsets, you only need to scan the database twice. The improvement of the experimental results shows that in the IAP courses BO big data studied in this article, students recognize and like educational reforms. The degree of students’ love of the course has increased by about 90%, which has played an important role in improving students’ concentration on the course.