摘要
利用R语言的arules包及Apriori算法对商品交易数据进行关联规则挖掘,通过逐步调整支持度和置信度阈值并通过提升度分析验证,可以有效保证挖掘结果的质量,然后可以可视化方式直观显示关联分析结果。该关联规则挖掘思路可应用于电子商务领域及其他相关领域。
By using the arlues package and Apriori algorithm of R language to mine the association rules of commodity transaction data,the support and confidence thresholds can be adjusted step by step,and the quality of the mining results can be ensured by the lift analysis and validation, after which the association analysis results can be displayed visually. The mining of association rules can be applied to the field of electronic commerce and other related fields.
出处
《广东培正学院论丛》
2016年第4期62-66,共5页
The Journal of Guangdong Peizheng College
