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中文题名:

 数据挖掘技术在旅游信息分析中的研究与应用----以目的地为北京的旅游为例    

姓名:

 孙丽楠    

学科代码:

 085212    

学科专业:

 软件工程    

学生类型:

 硕士    

学位:

 工程硕士    

学位年度:

 2015    

校区:

 北京校区培养    

学院:

 信息科学与技术学院    

研究方向:

 软件工程    

第一导师姓名:

 余先川    

第一导师单位:

 北京师范大学信息科学与技术学院    

第二导师姓名:

 汪喜斌    

提交日期:

 2015-06-03    

答辩日期:

 2015-05-23    

外文题名:

 Data Mining Technology and its Application for Beijing Tourists Information    

中文摘要:
摘 要随着北京市旅游业的发展和旅游业信息化程度不断深入,在北京市旅游管理部门中已经存储了大量的数据信息,而国内当前数据挖掘技术在旅游业的应用研究还处于初步阶段,缺乏利用数据挖掘技术对数据进行智能化、深层次的挖掘。针对于这一现实情况,本文开展了数据挖掘技术在旅游业信息化建设中应用的研究。本文首先对国内外数据挖掘技术在旅游业信息化建设中应用的研究现状进行调研,而后对本文旅游信息系统设计所涉及的关键技术进行介绍;其次,为了从源系统中抽取分析所需的数据信息,按照数据仓库设计方法对数据仓库进行设计,为系统提供了数据保证;然后,为验证数据挖掘算法在旅游信息系统应用的可行性,首先从事务数据库中随机抽取样本集,分别开展了Apriori算法在旅游信息系统中游客行为分析和回归分析方法在旅游信息系统客流量分析的应用试验,分别介绍了两种数据挖掘算法的实现步骤,并依照实现步骤针对测试样本进行分析,分析结果表明数据挖掘算法分析结果符合旅游业现实情况,可将数据挖掘算法应用到旅游信息系统中。最后,对旅游信息系统进行实现。首先对系统需求进行分析,然后根据系统需求进行系统设计,最后分别对系统的主要功能模块进行设计与实现,包括:数据预处理模块、OLAP模块以及数据挖掘模块。
外文摘要:
With the development of the tourism and the deepening of tourism informatization degree in Beijing, there are a large amount of data store in the ministry of Beijing tourism administration, but the current data mining technology in the application research of tourism is still in the preliminary stage, lack of using data mining technology to intelligent, deeply data mining. For this reality, this paper has carried out data mining technology applied in the tourism information system research.Firstly, research the status of the data mining technology at home and abroad of the tourism information system, And then introduces the key technology in the tourism information system design; Second, in order to drawn the required analysis information data from the source system, according to the data warehouse design method to design of data warehouse, data provides the system guarantee; Then, to verify the feasibility of data mining algorithm in the tourism information system application, first from a randomly selected sample of transaction databases, carry out the Apriori algorithm in information system of tourist behavior analysis and regression analysis method in the analysis of the tourism travel information system application test, and introduced two kinds of data mining algorithm implementation steps, and in accordance with the implementation steps on the test samples were analyzed, and the analysis results show that data mining algorithm analysis results conform to reality tourism, data mining algorithms can be applied to tourism information system.Finally, the tourism information system implementation. First of all to analyze system requirements, and then design the system based on the system requirements, finally, respectively, the system design and implementation of main functional modules, including: data preprocessing module, on-line analytical processing (OLAP) module and the data mining module.
参考文献总数:

 45    

馆藏号:

 硕430113/1506    

开放日期:

 2015-06-03    

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