The Data Mining Algorithm Analysis for Personalized Service

Abstract

In recent years, the library service has become more and more to meet the requirements of customers personalized service. With the rapid development of computer technology, the use of data mining technology can effectively achieve the goal. in using data mining technology, realization of the algorithm is the key, there are some problems to realize the personalized service in the use of the classical algorithm - Apriorio algorithm. Therefore, I will improve the classical algorithm in this article so that the improved algorithm can realise the individualized service of the library more efficient. The main content of this paper is: Chapter 1: to introduce the library personalized service and understand their requirements. Chapter 2: to introduce the data mining and know it to understand why it can be used to realize the individualized service of the library. Chapter 3: to introduce Data Mining Algorithm for personalized service. To introduce the classical association rules algorithm - Apriori algorithm, through improving its insufficiency, we can use the improved algorithm to realise the personalized service more efficient.