[1]郭涛 张代远.基于关联规则数据挖掘Apriori算法的研究与应用[J].计算机技术与发展,2011,(06):101-103.
　GUO Tao,ZHANG Dai-yuan.Research and Application on Association Rules Based on Apriori Algorithm[J].,2011,(06):101-103.
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基于关联规则数据挖掘Apriori算法的研究与应用()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年06期
页码:
101-103
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research and Application on Association Rules Based on Apriori Algorithm
文章编号:
1673-629X（2011）06-0101-03
作者:
郭涛 张代远
南京邮电大学计算机学院
Author(s):
GUO Tao; ZHANG Dai-yuan
Coll.of Computer,Nanjing Univ.of Posts and Telecommunications
关键词:
数据挖掘; 关联规则; Apriori算法
Keywords:
data mining;  association rules;  Apriori algorithm
分类号:
TP301.6
文献标志码:
A
摘要:
目前在我国,对数据挖掘技术的研究与应用并不是很广泛。大多数数据库只能实现数据的录入、查询、统计等较低层次的功能,无法发现数据中存在的各种有用的信息。基于关联规则的数据挖掘主要用于发现数据集中项目之间的联系。以超市购物为例,目的在于找出顾客所购买商品之间的内在关联。利用Apriori算法的先验原理,减少Apriori算法在搜索频繁项目集时对候选式的搜索次数,并在对顾客购买的商品模型进行抽象的基础上,利用vc＋＋与access数据库实现的算法系统,对所购买的商品之间的内在关联进行模拟分析。根据得到的数据分析出置信度较高的几种商品,通过对这些商品集中摆放,可以提高收益,从而证明改进的Apriori的实用性
Abstract:
At present in China,data mining research and application is not widely used.Most of the database only for data entry,query,statistics and other lower-level functions,can not find the data that exists in a variety of useful information.Association rules found in data mining is mainly used for the relevant links between data items.Supermarket shopping is taken for example,to find relevancy of customers＇ buying.Applying priori principle of Apriori,the number of searching for frequent item sets is reduced.On the foundation of abstracting model of customers＇ buying and implementation of algorithm-based system based on vc＋＋ and access database,intrinsic correlation of goods purchased is simulated and analyzed.Income will be increased,if a few commodities with a high degree of confidence are put together.According to above-mentioned theory and analysis,the practicality of improved-algorithm has been proved

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备注/Memo

备注/Memo:
郭涛（1987-），男，硕士，研究方向为智能计算、神经网络张代远，教授，研究方向为神经网络、演化计算、计算机体系结构
更新日期/Last Update: 1900-01-01