Share based measures for itemsets

被引：0

作者：

Carter, CL ^{[1
]}

Hamilton, HJ ^{[1
]}

Cercone, N ^{[1
]}

机构：

[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada

来源：

PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY | 1997年 / 1263卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce the measures share, coincidence and dominance as alternatives to the standard itemset methodology measure of support. An itemset is a group of items bought together in a transaction. The support of an itemset is the ratio of transactions containing the itemset to the total number of transactions. The share of an itemset is the ratio of the count of items purchased together to the total count of items in all transactions. The coincidence of an itemset is the ratio of the count of items in that itemset to the total of those same items in the database. The dominance of an item in an itemset specifies the extent to which that item dominates the total of all items in the itemset. Share based measures have the advantage over support of reflecting accurately how many units are being moved by a business. The share measure can be extended to quantify the financial impact of an itemset on the business.

引用

页码：14 / 24

页数：11

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