Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)
Опубликована: Янв. 1, 2024
Abstract In the face of a large amount information on access to literature resources Donglu Drum, there is an urgent need for tool conduct in-depth research and analysis this discover valuable laws so as better guide library’s inheritance work Drum. This paper first improves K-Means algorithm, using clustering methods achieve cluster understand East Road drum resources, according results number different groups people make incorporation countermeasures preferences group with larger access. Then, Apriori algorithm improved, association rules are used analyse mine accessers that librarians can carry out personalized services accessers, relevant improve efficiency their literature, at same time, enhance interest in Drums. Questionnaire survey 11 think use algorithms combined digital library, understanding drums be increased, 10 said they willing go offline close appreciate opera. It shows efficient Drum informatisation based mining rule has enhanced masses it supported certain extent.
Язык: Английский