Apriori算法在毕业生信息应用中的改进分析  

Apriori Algorithm in Graduate Information Applications of the Improved Analysis

作　　者：李立现[1] LI Li-xian(Information Science and Technology Institute of Jiujiang University,Jiujiang 332005,China)

机构地区：[1]九江学院信息科学与技术学院

出　　处：《电脑知识与技术》2009年第12X期10513-10514,10520,共3页Computer Knowledge and Technology

摘　　要：通过学习和研究关联规则在商场购物问题上的应用,分析学校毕业生信息特点,相对商场购物信息,毕业生信息性质单一。根据其特点进行量化得出大量重复数据,结合算法对量化后的数据采用关联规则分析数据。Apriori算法会对重复数据多次重复扫描,因此将Apriori算法应用于学生就业问题时要对其进行改进,以利于决策者的分析与应用,试图增加一个属性列count来记录相同数据数目,以改进Apriori在毕业生信息分析中的适用性。Through study and research association rules in the shopping mall on the issue of application,Analysis of information characteristics of school leavers,Comparative shopping information,Graduates of a single nature of the information.Quantified according to their characteristics come to a large number of duplicate data,combined with algorithms to quantify the data after the analysis of data using association rules.Apriori algorithm is repeated duplication of data would be scanned and will therefore Apriori algorithm is applied to the employment problem of the students you want to make improvements in order to facilitate the analysis and application of decision-makers,Attempt to increase an attribute to record the same data column count the number of graduates in order to improve Apriori in the applicability of information analysis.

关 键 词：关联规则 APRIORI算法 毕业生信息 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]