Informatization of the Traditional Literature of Donglu Drums and Its Supporting Role for Inheritance

Abstract

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

Keywords

• k-means algorithm
• apriori algorithm
• association rules
• theatre heritage
• 94a16