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- W3215670136 abstract "As early as the 1980s, big data has been proposed, and the past decade has ushered in the opportunity for rapid development. In today's era of explosive data growth, many technologies and algorithms based on big data have emerged. With the advancement of science and technology and the popularization of the Internet, large amounts of data and information will be generated from people's daily work and life to the state of the trajectory of molecules. How to efficiently mine the hidden information of these massive data information is the key to scientific and social development, which requires big data mining technology. The purpose of this article is to design the Apriori-TIDS (A T) algorithm based on big data and its application in the information mining of college counselors' educational decision-making. In this paper, through the research on the basis of AT algorithm, analyze the algorithm design of AT, and combine with the current situation of education decision-making information of college counselors in our country, to explore the application of AT algorithm in college counselor education information mining. This article analyzes it through research methods such as literature data method and mathematical statistics method. Research shows that the improved AT algorithm is obviously better than the Apriori algorithm, especially when the support threshold is low." @default.
- W3215670136 created "2021-12-06" @default.
- W3215670136 creator A5082496274 @default.
- W3215670136 date "2021-09-24" @default.
- W3215670136 modified "2023-10-17" @default.
- W3215670136 title "The Design of Apriori-TIDS Algorithm Based on Big Data and Its Application in the Information Mining of College Counselors' Educational Decision-making" @default.
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- W3215670136 doi "https://doi.org/10.1145/3482632.3483132" @default.
- W3215670136 hasPublicationYear "2021" @default.
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