Research Hotspots of Data Mining Technology in the Field of Library and Information

Abstract

With the rapid development of computer network information technology, data mining technology has begun to be widely used in all walks of life. In the field of Library and information technology, data mining technology can efficiently analyze and screen a large amount of information. This paper mainly studies the useful content, readers' interests and reading habits in the database. Firstly, it theoretically expounds the literature review of text classification methods and association rule-based algorithms by scholars at home and abroad. Then the data mining technology is used to establish the relevant models in the field of Library and information. Finally, the experimental results show that economics, geography, environmental resources, language, industrial technology and literature are the types of books that readers often consult. These five categories are a collection of common books, with a confidence level of more than 50%. Although the support of public project sets decreases with the increase of the number of public project sets, the average support of the five public project sets is 30.2%, which is higher than the minimum support of public project sets. Therefore, there is a strong correlation between the categories of books in the five project collections in the library.