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[Algorithm373952a9-2ecb-4

Description: 开发HTLM,并且能在关联规则下的CMMB中的实现和研究。-Development HTLM, and can under the rules of the association in the realization of CMMB and research.
Platform: | Size: 208896 | Author: 王刚 | Hits:

[JSP/JavaHibernateRelation

Description: 描述了实体关系的概念、实体关系在Java中的建模规则、实体关系在数据库中的建模、掌握使用Hibernate实现一对一、一对多、多对多的关联映射的配置-Describes the concept of entity relationship, entity relationship modeling in Java, the rules in the database entity relationship modeling, master the use of Hibernate to achieve one to one, many, many to many association mapping configuration
Platform: | Size: 166912 | Author: 杨梅 | Hits:

[JSP/JavaaPriorri

Description: GUI for the association minning rules
Platform: | Size: 73728 | Author: mzm | Hits:

[LabViewleds

Description: 多路调光灯 4个LED定义成4个可独立调节亮度的调光灯。用4路PWM方式的输出分别点亮4个LED,各用2个按键对PWM的输入进行LED的亮度控制(2个按键分别为亮度增减,步长自行定义,要求可以实现按总亮度的1 ,5 ,10 和20 等不少于4种步长,由SW3的DIP开关设置)。4路LED间的亮度变化可以按照一定规律关联。-Multi-channel dimmer LED lamp 4 is defined as four independently adjustable brightness dimming lights. With 4 PWM outputs of the way light 4 LED, each with two buttons on the PWM input for LED brightness control (2 keys are brightness changes, step self-definitions, requirements can be achieved by total brightness 1 , 5 , 10 and 20 , etc. at least four kinds of steps from the SW3 DIP switch settings). 4 LED brightness changes among the association can follow certain rules.
Platform: | Size: 301056 | Author: 杨阳 | Hits:

[Other5

Description: Association rule mining can be used to discover interesting rules large s easily for better decision making in most real world applications except the financial market. This is because the investors are interested in high profit and low risk trading results more than in those of high confidence and high support. Based on a working model of profit mining, we propose an effective algorithm for investors to find trading rules that include information on profit, risk, and win rate. This mining approach works well not only in the stock market, but also in the futures and other markets. -Association rule mining can be used to discover interesting rules large s easily for better decision making in most real world applications except the financial market. This is because the investors are interested in high profit and low risk trading results more than in those of high confidence and high support. Based on a working model of profit mining, we propose an effective algorithm for investors to find trading rules that include information on profit, risk, and win rate. This mining approach works well not only in the stock market, but also in the futures and other markets.
Platform: | Size: 216064 | Author: varun | Hits:

[File FormatBasket

Description: 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 understood as “if this, then that”. Imagine 10000 receipts sitting on your table. Each receipt represents a transaction with items that were purchased. The receipt is a representation of stuff that went into a customer’s basket – and therefore ‘Market Basket Analysis’. That is exactly what the Groceries Data Set contains: a collection of receipts with each line representing 1 receipt and the items purchased. Each line is called a transaction and each column in a row represents an item.
Platform: | Size: 19456 | Author: tenaj | Hits:

[.netfp-master

Description: Identifying frequent item-sets can be useful in many ways. In the case of a supermarket, knowledge of which items are often purchased together could be used for product placement, targeted marketing, and so on. Additionally, once all frequent items sets have been identified, these item-sets could be analyzed further to extract rules such as, “if customers purchase both apples and bread, then there’s high probability they will also purchase lettuce and milk.” This overall process of first extracting frequent item-sets and then harvesting if-then rules is called association rule learning.
Platform: | Size: 2753536 | Author: gretelb | Hits:

[matlabApriori

Description: 挖掘出事物数据库中所有的强关联规则,挖掘数据之间的支持度及置信度(Mining all the strong association rules in the database)
Platform: | Size: 4096 | Author: lewao | Hits:

[OtherNewWeightedApriori

Description: 加权模糊关联规则挖掘,一种基础算法的改进,增加权值(Weighted fuzzy association rules mining The improvement of algorithm,)
Platform: | Size: 37888 | Author: HeiYue | Hits:

[DataMiningmy_apriori

Description: 很好用的关联规则挖掘经典算法,推荐使用。包括支持度、置信度、提升度,输出结果到excel文件(Good use of association rules mining classic algorithm, recommended)
Platform: | Size: 1024 | Author: H.Lee | Hits:

[matlabzip

Description: 依靠matlab平台采用Apriori算法进行气温与降水关联规则的提取(Using Apriori algorithm to extract association rules between temperature and precipitation based on MATLAB platform)
Platform: | Size: 4096 | Author: 半糖去冰 | Hits:

[DataMining中医证型的关联规则挖掘

Description: Apriori关联规则在中医证型中的应用,有对应数据及说明文档,可以运行(It is mainly the application of Apriori association rules in TCM syndromes, which can be run with corresponding data and process description)
Platform: | Size: 1412096 | Author: Love朵儿 | Hits:
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