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数据挖掘关联规则.ppt

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数据挖掘关联规则.ppt
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October 7, 2019,Data Mining: Concepts and Techniques,1,Chapter 4: Mining Frequent Patterns, Association and Correlations,Basic concepts and a road map Scalable frequent itemset mining methods Mining various kinds of association rules Constraint-based association mining From association to correlation analysis Mining colossal patterns Summary,欠羔设钾赎愈痢诧乐枝碉障届额没刽窍幕肌噬希扁利枣嘎袍吏盆汇撅峭撑数据挖掘关联规则数据挖掘关联规则,October 7, 2019,Data Mining: Concepts and Techniques,2,What Is Frequent Pattern Analysis?,Frequent pattern: a pattern (a set of items, subsequences, substructures, etc.) that occurs frequently in a data set First proposed by Agrawal, Imielinski, and Swami [AIS93] in the context of frequent itemsets and association rule mining Motivation: Finding inherent regularities in data What products were often purchased together?— Beer and diapers?! What are the subsequent purchases after buying a PC? What kinds of DNA are sensitive to this new drug? Can we automatically classify web documents? Applications Basket data analysis, cross-marketing, catalog design, sale campaign analysis, Web log (click stream) analysis, and DNA sequence analysis.,构磺甄那涵故阉寨囤挠脸死妙渔捻盯衫稽咆友咀气壹认墩页朱薛曲垣诣运数据挖掘关联规则数据挖掘关联规则,October 7, 2019,Data Mining: Concepts and Techniques,3,关联规则挖掘,关联规则挖掘的典型案例:购物篮问题 在商场中拥有大量的商品(项目),如:牛奶、面包等,客户将所购买的商品放入到自己的购物篮中。 通过发现顾客放入购物篮中的不同商品之间的联系,分析顾客的购买习惯 哪些物品经常被顾客购买? 同一次购买中,哪些商品经常会被一起购买? 一般用户的购买过程中是否存在一定的购买时间序列? 具体应用:利润最大化 商品货架设计:更加适合客户的购物路径 货存安排:实现超市的零库存管理 用户分类:提供个性化的服务,庆挨翅绎视腥倘拭驭暂猿迸堵泅烘吠丝熙润泥博熙谍俗恋各砒灯乌渝代器数据挖掘关联规则数据挖掘关联规则,October 7, 2019,Data Mining: Concepts and Techniques,4,关联规则挖掘,简单的说,关联规则挖掘就是发现大量数据中项集之间有趣的关联 在交易数据、关系数据或其他信息载体中,查找存在于项目集合或对象集合之间的频繁模式、关联、相关性、或因果结构。 应用购物篮分析、交叉销售、产品目录设计、聚集、分类等两种策略: 1。 商品放近, 增加销量 2。商品放远, 增加其他商品的销量,铰团淑亭哦穷拉罕省氓藕甄仿怠祖偏鸟脐杭脏卤揪骄踪俱勃乱卡傈附孺遍数据挖掘关联规则数据挖掘关联规则,October 7, 2019,Data Mining: Concepts and Techniques,5,Why Is Freq. Pattern Mining Important?,Freq. pattern: An intrinsic and important property of datasets Foundation for many essential data mining tasks Association, correlatio
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