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gendate
IBM Quest Market-Basket Synthetic Data Generator是做关联规则挖掘多用的一种人工数据合成工具，这方面论文的实验数据大多是用它生成的数据。下面介绍一下它的使用方法，希望能对大家有所帮助，并希望能相互讨论。
下面附件中有该工具的vc源程序，大家可以下载下来，编译以后有个gendata.exe文件，在cmd命令行窗口中使用该命令加参数就可以了（格式是
gen l
amanda关联规则挖掘工具
- 关联规则的目的在于在一个数据集中找出项之间的关系，也称之为购物蓝分析 (market basket analysis)。例如，购买鞋的顾客，有10%的可能也会买袜子，60%的买面包的顾客，也会买牛奶。这其中最有名的例子就是"尿布和啤酒"的故事了。 Apriori algorithm是关联规则里一项基本算法。
IBMVC
- IBM Quest Market-Basket Synthetic Data Generator是做关联规则挖掘多用的一种人工数据合成工具，这方面论文的实验数据大多是用它生成的数据。-IBM Quest Market-Basket Synthetic Data Generator for mining association rules is to do a manual multi-purpose data integration t
ibm
- 生成测试集,要做数据挖掘的关联规则试验，少不了数据集，人工生成的数据集可以采用agrawal等人实现的一个数据集生成器，叫：IBM Quest Market-Basket Synthetic Data Generator-生成测试集
apus2an.tar
- This Program Shows How To Create A Simple Market Basket Analysis In C++ Using rand() function to generate item type and item quantity
assoc.gen
- IBM Quest Market-Basket Synthetic Data Generator是做关联规则挖掘多用的一种人工数据合成工具，这方面论文的实验数据大多是用它生成的数据。-IBM Quest Market-Basket Synthetic Data Generator for mining association rules is to do a manual multi-purpose data integration t
Apriorialgorithm
- 关联规则的目的在于在一个数据集中找出项之间的关系，也称之为购物蓝分析 (market basket analysis)。Apriori algorithm是关联规则里一项基本算法。-The purpose of association rules in a data set to identify relationships between items, also known as shopping blue analysis (mar
Market-Basket-Synthetic-Data-Generator
- Market-Basket Synthetic Data Generator
IBM-Quest-Data-Generator
- ibm实验室提供的数据集生成器源码，可以数据挖掘中经常使用的关联规则数据集。IBM Quest Market-Basket Synthetic Data Generator是IBM公司提供的产生频繁项数据的源代码-IBM Quest Market-Basket Synthetic Data Generator for mining association rules is to do a manual multi-purpose dat
Armada_v_1_4
- 利用关联规则发对市场篮子的数据进行挖掘，对同一交易购买的物品的可能性进行了分析。-Association rules are a simple but very useful form of data mining that describe the probabilistic co-occurrence of certain events within a database. They were originally designed
Apriori_CSharp_SourceCode_without_exe
- Apriori[1] is a classic algorithm for frequent itemset mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to lar
market-basket-analysis
- c#实现的基于购物篮的关联挖掘，基于windows窗口-c# implementation based on association mining basket, windows-based window
Basket
- There are many ways to see the similarities between items. These are techniques that fall under the general umbrella of association. The outcome of this type of technique, in simple terms, is a set of rules that can be u
ajss-3-2-3
- Apriori[1] is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger an