江西科学2012，Vol.30Issue(1)：96-98,3.
基于Apriori算法的购物篮关联规则分析
Apriori Algorithm Based on Association Rules Analysis of the Shopping Basket
摘要
Abstract
Data mining is the new discipline evolved due to the need of information retrieval from immense amount of data in databases.It relates to subjects in statistics,machine learning,database technique,pattern recognition,artificial intelligence,etc.The competition in IT jobs market is enormous,and data mining-the core technique in data processingis gaining more and more attention.Association rules are commonly used to figure out what relations exist between different data sets in transactional databases and to find out further the customers′purchasing behavior pattern,for example,the influence on customers′buying other products after having bought some kind of products.These rules can be applied in supermarkets to product shelf design,goods deposit and classification of customers according to customers′purchasing pattern.Through discovering of the association rules the development and trend of the underlying objects can be better realized and mastered.In marketing and business investment data mining plays an important role.关键词
数据挖掘/关联规则/Apriori算法/置信度/支持度Key words
Data Mining/Association rules/Apriori algorithm/Confidence/Support分类
信息技术与安全科学引用本文复制引用
赵祖应,丁勇,邓平..基于Apriori算法的购物篮关联规则分析[J].江西科学,2012,30(1):96-98,3.
