Abstract
Today is an era of data “big bang”; Internet information technology is widely used in various fields of society. As an indispensable spiritual food in people’s daily life, books are increasing in number and scale. In order to better manage book information, people have introduced data mining technology. Based on this, this article takes the research and application of data mining technology in book copyright information management decision-making system as the theme, explores the role of data mining technology in book copyright information management, and aims to provide reference for our country’s book copyright information management and decision-making. This article first introduces the common algorithms of data mining technology and then elaborates on the advantages and effectiveness of the association rule method in data mining. Aiming at some defects of the original Apriori algorithm of the association rule method, an improved Apriori algorithm is proposed. After taking the library book information management system and database of a university in our province as the experimental research object, the performance gap between the two algorithms is compared through experiments, and it is concluded that when the number of transaction set item records is less than 1400, the Apriori algorithm performs better, and when the number of records in the transaction set is greater than 1400, the improved Apriori algorithm is obviously more advantageous. The research results show that the introduction and application of data mining technology make the information management of books more efficient and convenient, and it is more convenient for the management and decision-making of book copyright information.
Highlights
In order to adapt to the requirements of the times, various information technology processing methods have emerged, and data mining technology is one of them
Data mining technology has the powerful function of quickly processing and analyzing information [1]. rough the reading and analysis of information, an information database will be built within the system, and clustering will be made according to the different characteristics of the acquired information, which greatly improves
There are many researches on the application of data mining technology in book information management. is article proposes a new and improved Apriori algorithm based on the research results of the predecessors, which aims to provide data mining technology in the field of book information management [5].Wu believes that big data is widely regarded as one of the most powerful driving forces to promote productivity, improve efficiency, and support innovation
Summary
Is article proposes a new and improved Apriori algorithm based on the research results of the predecessors, which aims to provide data mining technology in the field of book information management [5].Wu believes that big data is widely regarded as one of the most powerful driving forces to promote productivity, improve efficiency, and support innovation. In order to answer the interesting question of whether there is an inherent correlation between the two trends of big data and green challenges, his recent study investigated the issue of greening the entire life cycle of big data systems He hopes to discover the relationship between the trend of the big data era and the trend of the new generation of green revolution through a comprehensive and panoramic literature survey on various green goals of big data technology, as well as discussions on related challenges and future dilemmas [6]. Application Strategy of Data Mining Technology in the Book Copyright Information Management Decision System
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