【作者】 王前辉；

【导师】 黄章树；

【作者基本信息】 福州大学 ， 企业管理， 2006， 硕士

【摘要】 随着信息技术的迅速发展,企业在激烈的市场竞争中越来越多地采用现代信息技术来提高竞争力。他们利用管理信息系统收集日常的业务数据,并积极寻求隐藏在其中的商业信息。但是,传统的基于数据的管理信息系统已不能满足决策者的需求,面向决策的数据挖掘系统和知识管理系统正在蓬勃兴起。当前数据挖掘研究重点逐渐从发现方法转向系统应用,注重多种发现策略和技术的集成,以及多种学科之间的相互渗透,一般的数据挖掘工具已经不再适应数据挖掘应用发展的需求。因此如何将数据挖掘技术与应用相结合,同时又保持系统的可扩展性和灵活性,构建适合企业用户的数据挖掘商业应用系统已经成为目前最迫切需要解决的问题之一。为此我们构建了数据挖掘商业应用平台,致力于形成一个多策略的、有效度广的数据挖掘商业应用系统,使得企业可以方便地对日常的行为数据进行有效的分析,并根据企业实际的商业逻辑,结合数据挖掘发现的知识,快速做出准确的决策。首先,本文通过对数据挖掘商业应用的总体状况进行详细的阐述,总结了数据挖掘技术在商业应用过程中存在的问题,并结合多年的实践经验,提出了构建数据挖掘商业应用平台的总体思路,明确了本研究的理论基础和研究方向。其次,在多年的电信增值行业数据挖掘商业应用研究的基础上,本文论述了数据挖掘商业应用平台的三层(即客户层,中间层和数据服务层)体系结构,并对各层的主要功能进行了详细的阐述。再次,在三层架构的基础之上,本文对数据挖掘商业应用平台构建的具体实施过程及各层的功能设计进行了深入的研究,并提出了从数据整理、清洗、商业逻辑模式定义、数据模型训练和结果展示等数据挖掘过程的具体实现方法。最后,本文根据笔者多年以来对电信增值服务行业的商业理解,通过数据挖掘商业应用平台在电信增值服务企业中的具体应用实施,阐述了数据挖掘商业应用平台的实际应用情况及效果,展示了数据挖掘商业应用平台的良好发展前景。更多还原

【Abstract】 Along with the rapid development of information technology recent years, the enterprise usually use the modern information technology in each kind of activity to enhance the competitive power generally. The tradition information system based on the data management has not been able to meet policy-maker’s need in enterprise, knowledge management system face the strategy making is emerging. The current data mining research has transported its emphasis from the discovery method to system application gradually. It emphasis on discovering strategies based on multi-methods and the technology integration, as well as mutual seepage between different disciplines, the general data mining tool has no longer adapted the developing data mining application demand. Therefore unifies the data mining technology and the application, at the same time maintains the system to be extensional and the flexible, constructing data mining system that suits the enterprise user has become one of questions which is most urgent needs to be solved at present. In order to adapt this request, the constructing of data mining commercial application platform devotes in forming multi-strategy, broad availability data mining commercial application platform. Therefore, the enterprise can carry on effective analysis with daily behavior data conveniently, and then makes accurate decisions according to the enterprise actual commercial logic and the knowledge that discovered in the data.Firstly, this article expatiate the overall condition of data mining commercial application particularly, and summarized the question that exists in the commercial using process of data mining systems. And then propose overall thinking of constructing the data mining commercial application platform according to the long-term experience, and propose the researching rationale and direction clearly.Secondly, according to the long-term research on the data mining commercial application of telecommunication increment profession, this article elaborate three-level systems structure of the data mining commercial application platform, namely the customer level, the intermediate level and the data service level, and make detailed description to each level’s main function.更多还原