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题名	ID3算法的研究以及在成绩统计辅助决策系统中的应用; Research on ID3 Algorithm and Application in Data Mining System of Grade Policy-Marking
作者	张凌
答辩日期	2007 ; 2007
导师	罗键
关键词	数据挖掘 Data Mining ID3算法 ID3 Algorithm 成绩统计辅助决策 Decision Making Support of Grading
英文摘要	随着以计算机和网络为代表的信息技术的发展，越来越多的企业、政府组织、教育机构和科研单位实现了信息的数字化处理。数据库，特别是数据仓库已经被广泛地应用于企业管理、产品销售、科学计算和信息服务等领域，同时，信息量的不断增长也对数据的存储、管理和分析提出了更高的要求。剧增的数据中又有可能隐藏着许多重要的信息，人们希望能够对已经占有的信息更高层次的分析，以便更好地利用这些数据。目前的数据库系统虽然可以较好地实现数据的录入、查询和统计等功能，但尚不支持对数据背后重要信息的挖掘，从而导致了“数据爆炸，知识贫乏”的现象。 数据挖掘技术可以帮助人们从数据库，特别是数据仓库的相关数据集中提取出所感兴趣的知识、规律或更高层次的信息，并可以帮助人们从不同程度上去分析它们，从而可以更有效地利用数据库或数据仓库中的数据。数据挖掘技术不仅可以用于描述过去数据的发展过程，进一步还能够预测未来趋势。分类发现作为数据挖掘的一项重要任务，在科学实验，医疗诊断，气象预报，信贷审核，数据预测，案件侦破等领域有着广泛应用。 在高等院校的教务管理系统的成绩库中存储了大量的学生成绩，这其实是一个十分有用及丰富的数据库。本课题对ID3算法进行研究分析后，提出了一种改进的算法，对储存在教务管理系统中的数据进行挖掘分析。从而找出课程设置之间的关联，对高校的成绩统计辅助决策提供一些数据依据。; With the development of information technology represented by computer and network, more and more companies, government organizations, academic institutions and research institutions realize the digitalization of information. The database, especially data warehouse has been widely used in management, distribution, scientific calculation and information services. At the same time, the increasing of information brings higher requirement for the storage, management and analysis of data. Much important information may hide in the rapidly increasing data, so that people hope to analysis the information in higher level in order to make better use of the data. Although the current database system can satisfy some functions such as entry, request and counting, it still does not support the excavating of some important information behind the data, which leads to the phenomenon of “exploding data, poor knowledge”. The technology of data mining can help us find the knowledge, rules or information of high level from the related data in the Database , especially the Data Warehouse. Classified discovery is widely used in many fields such as scientific experiments, medical treatment, weather prediction, credit verification and case clearance. Large numbers of data as students scores are stored in the college educational administration system. It is a helpful and abundant database indeed. This course will investigated and analysis the ID3 calculation method and raise an improved arithmetic which is able to deeply analysis the datas in this college educational administration system databse. Aim to find out the courses setting connection and propose the data base of students' scores which to support the college's decision making.; 学位：工程硕士; 院系专业：信息科学与技术学院计算机科学系_工程硕士; 学号：X200431036
语种	zh_CN
出处	http://210.34.4.13:8080/lunwen/detail.asp?serial=16722
内容类型	学位论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/50959]
专题	信息技术－学位论文
推荐引用方式 GB/T 7714	张凌. ID3算法的研究以及在成绩统计辅助决策系统中的应用, Research on ID3 Algorithm and Application in Data Mining System of Grade Policy-Marking[D]. 2007, 2007.

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