Development of knowledge discovery system and research of business process for the implementation

知识发现系统开发及实施业务流程研究

• 批准号: 15500096
• 负责人: HAMURO Yukinobu
• 金额: $ 2.37万
• 依托单位: Osaka Sangyo University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2004
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15500096/
• 关键词: data mining; knowledge discovery; MUSASHI; open source software; database; XML; data mining; knowledge discovery; MUSASHI; open source software; database; XML

In our research project, we have tried to develop the KDD system that can be applied to the entire KDD process, for the purpose that the system will be used in an actual company. We have achieved the following three points.1.Analytical methodsWe had joint research projects with some companies (retail companies like supermarket and department store) on knowledge discovery. Those companies provided us with actual sales transaction data with customer ID. Using those data we developed analytical methods that provide a useful knowledge, by which the companies can implement an effective marketing action. We developed following three methods mainly.(1)Knowledge discovery on store arrangement in a department store using genetic algorithm(2)Knowledge discovery in brand purchasing pattern using network flow estimation(3)Consumer Behavior Analysis by graph mining technique2.Algorithms used in the methodsWe developed efficient algorithms for the above analytical methods. We developed the following three methods mainly.(1)Algorithms required for data preprocessing(2)Extension of the algorithm originally used in gene analysis technology to the analysis of business data(3)Efficient algorithms for approximating a multi-dimensional voxel terrain by a unimodal terrain3.Developing a softwareWe have developed a KDD software named "MUSASHI", which was released on the web of "musashi.sourceforge.jp" on 10 July, 2003. Most of the analytical methods and the algorithms mentioned above were already implemented in MUSASHI.More than 60,000 of people had visited on the web page and the software had been downloaded about 5,200 times since opening the web page, which shows our research result is generally accepted.

在我们的研究项目中，我们试图开发可应用于整个KDD流程的KDD系统，以便将系统用于实际公司。我们已经达到了以下三个点。1。Analytical Methodsws在知识发现方面与一些公司（像超市和百货公司这样的零售公司）进行了联合研究项目。这些公司为我们提供了带有客户ID的实际销售交易数据。使用这些数据，我们开发了提供有用的知识的分析方法，公司可以通过该方法实施有效的营销行动。 （1）使用网络采购模式中的遗传算法发现（2）使用网络流量估计（3）通过图挖掘技术进行消费者行为分析的知识发现，我们开发了三种方法。 We developed the following three methods mainly.(1)Algorithms required for data preprocessing(2)Extension of the algorithm originally used in gene analysis technology to the analysis of business data(3)Efficient algorithms for approximating a multi-dimensional voxel terrain by a unimodal terrain3.Developing a softwareWe have developed a KDD software named "MUSASHI", which was released on the web of 2003年7月10日，“ Musashi.Sourceforge.jp”。上面提到的大多数分析方法和算法已经在Musashi实施。在网页上访问了超过60,000人，并且自打开网页以来，该软件已下载了大约5200次，这表明我们的研究结果已被普遍接受。