基于数据库技术应用分类算法的比较分析  

Based on the comparative analysis of database technology application classification algorithm

作　　者：李国庆[1] 

机构地区：[1]江苏联合职业技术学院徐州财经分院,江苏221008

出　　处：《网络安全技术与应用》2013年第10期42-43,共2页Network Security Technology & Application

摘　　要：数据库是一个庞大的系统,在数据挖掘过程中,对数据处理的算法有多种方式,但每种方式都有其优优势和不足,本文基于数据库技术应用的特点,分析了数据库技术数据处理中的决策树算法、贝叶斯分类方法、关联规则分类方法、以及基于数据库本身技术方法等几种算法分类,通过比较分析得出每种方法存在的利弊,旨在帮助提高数据库技术算法的有效性,也为使用者选择算法或改进算法提供了一定依据。a database is a large system, in the process of data mining, the algorithm of data processing in a variety of ways, but each has its advantages and disadvantages, this article is based on the characteristics of database technology application, analyzes the database technology in data processing, the decision tree algorithm classification method, bayes classification method, association rules and method based on the technology of the database itself several algorithms such as classification, through comparative analysis of the pros and cons of each method exists, is designed to help improve the effectiveness of the algorithm of database technology, for the user selection algorithm and improved algorithm provides a certain basis.

关 键 词：数据库技术 分类算法 比较分析 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]