Description: 数据挖掘中购物篮分析的apriori算法,这是用类C语言实现的
-data mining analysis of the shopping basket apriori algorithm, which is used like the C Language Platform: |
Size: 12600 |
Author:杨正余 |
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Description: 数据挖掘中购物篮分析的apriori算法,这是用类C语言实现的
-data mining analysis of the shopping basket apriori algorithm, which is used like the C Language Platform: |
Size: 12288 |
Author: |
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Description: 本文介绍了一个用java语言编写的用于分析消费行为的数据挖掘应用软件,并对于所应用的算法进了分析和解释。此软件具有客户消费等级分类,客户消费模式记
录,客户消费行为判断,异常消费警告等主要功能。该软件适用于银行业的决策者和网络购物的平台
-【Abstract】This review presents the course of developing software of Customer Behavior Analysis System with JAVA programming language and data mining technology .The paper presents the theories and methods of algorithm that we have used in the software .This software can be widely used in decision-maker in the bank and online-shopping platform.
【Keyword】Behavior Analysis Software BP Neural Network Personal Model Data Process Classification
Platform: |
Size: 5535744 |
Author:caiwei |
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Description: E-Shopping using Data Mining, we can extract the items easily to shoppers based on data mining algorithm.-E-Shopping using Data Mining, we can extract the items easily to shoppers based on data mining algorithm. Platform: |
Size: 4041728 |
Author:sivaganesh |
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Description: 序列模式挖掘是数据挖掘的一个重要分支,在序列事务及;有关信息处理中有着广泛的应用,如顾客购物习惯、web访问模式、科学实验过程分析、自然灾害预测、疾病治疗、药物检验以及{ sizej pos;
DNA等。序列模式挖掘算法有AprioriAll、GsP、F’reeSpan、本文将设计与实现针对string数据类型的算法,来对序列模式挖掘有更深入的剖析。-Sequence pattern mining is an important branch of data mining, and in the sequence matters the information processing has a wide range of applications, such as customer shopping habits, web access mode, the process of scientific experiments, natural disaster prediction, disease treatment, drug testing, and { sizej pos DNA and so on. Sequential pattern mining algorithm AprioriAll, GsP, F' reeSpan, this paper design and implementation of algorithms for string data types, to sequence pattern mining on a more in-depth analysis. Platform: |
Size: 288768 |
Author:谢亚妮 |
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Description: jsp开发网上购物作为消费者消费的一种方式,发展其网上商城网站显得越来越重要。网上商城网站作为提供消费者服务唯一的电子商务网站,给电子商务的发展带来了一定的好处。网上购物电子商务是以本系统为例,概述了网上商城的通常管理方式和结构,这不仅是业务处理平台和信息发布平台,而且也是知识获取平台、知识加工平台、知识决策平台的合成,它使得广大消费者能及时看到信息的交换和共享,并通过对数据进行挖掘和加工,使散乱的信息成为知识,使消费者能够适时得到有效信息,为消费者节约时间。 该系统开发主要运用Java开发语言和netbeans6.5运行环境,其功能表现在网站后台和前台。后台重要功能为产品分类别、发布产品信息、订单信息处理、公告信息数据的录入发布、用户留言回复、会员信息管理等。前台主要功能是分类别展示产品信息、公告信息、生成订单、网上留言、产品检索等。数据库是mysql。 该系统显示模式是目前很流行的一种网上商城网站,界面排版和内容显示非常美观。 本文简单阐述了java开发语言理论知识与编程相关MVC结构和部分功能实现。 本文最后对目前已完成的系统的优点和需要进一步改进之处进行了简单的分析,并对全文做了总结和展望。
-jsp online shopping as a way to develop consumer spending, the development of its online mall site becomes more and more important. Online mall site provides consumer services as the only e-commerce site, to the development of e-commerce has brought some benefits. E-commerce is the online shopping system, for example, an overview of the management and structure of the usual online store, which is not only a business process platform and information publishing platform, but also a platform for knowledge acquisition, knowledge processing platform for decision-making platform for the synthesis of knowledge, it allows consumers to see the timely exchange and sharing of information, and through data mining and processing, so that the scattered information becomes knowledge, enabling consumers to get timely and useful information for the consumer to save time. The system is developed mainly through the development of language and netbeans6.5 Java runtime environment, the performance of its f Platform: |
Size: 10240 |
Author:songqi |
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Description: PDF格式的PPT,来自英国南安普顿大学。主要介绍了数据挖掘的技术以及应用,包括决策树,推荐系统,文本聚类,搜索引擎,购物篮子分析。-PPT PDF format, the University of Southampton. It introduces data mining technology and applications, including decision, recommendation systems, text clustering, search engines, shopping basket analysis. Platform: |
Size: 10463232 |
Author:余镇江 |
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