数据挖掘理论与技术.doc

数据挖掘理论与技术课程名称：数据挖掘理论与技术英文名称：Data mining theory and technology课程代码：学 分：2课程总学时：40 实验学时：0 （其中，上机学时：24）课程性质：必修 选修是否独立设课：是 否课程类别：基础实验 专业基础实验 专业领域实验含有综合性、设计性实验：是 否面向专业：传播学、新闻学先修课程：大纲编制人：郑重 课程负责人：郑重 实验室负责人：胡兵一、教学信息教学目标与任务：本课程教学目的在于向学生较全面地介绍关系数据库技术的基本知识和一般原理，使学生在理解数据在关系数据库中的组织形式、数据彼此的逻辑联系及联系方式等基本范畴的基础上，掌握基于关系数据库技术的数据分析方法，并能够熟练地应用以r语言为基础的数据库管理系统软件提取数据、加工数据和对数据进行组织输出。同时，通过上机操作、练习和实验，使学生加深对关系数据库理论的理解和认识，提高综合分析问题和解决问题的能力，并掌握利用r语言从数据库中查询数据和设计业务报表的方法。教学基本要求：数据挖掘理论与技术是新闻学、传播学与技术各相关专业本科生的专业基础必修课程。本课程的任务是使学生在正确理解数据库原理的基础上，熟练掌握r语言在网络舆情数字抓取及应用技术的能力。考核方式：本课程的考核包括2个部分，分别为：平时成绩、期末考试，分数分别占40、60。二、教学资源（一）实验指导书与参考书1、张良均编著.R语言数据分析与挖掘实战，机械工业出版社，第1版，20152、Brian dennis编著.R语言初学指南，中国邮电出版社，第1版，20163、卡巴科弗 (Robert I.Kabacoff)编著.R语言实战，人民邮电出版社，第2版，2016三、实验内容与学时安排实验项目编号实验项目名称实验学时实验内容提要实验类型实验要求每组人数主要仪器设备与软件1R语言环境初识21、R语言环境初识综合性必做1计算机、R语言软件2R脚本的使用22、R脚本的使用综合性必做1计算机、R语言软件3函数的使用23、函数的使用综合性必做1计算机、R语言软件4基本绘图24、基本绘图综合性必做1计算机、R语言软件5数据的输入与输出25、数据的输入与输出综合性必做1计算机、R语言软件6R中数据的计算任务26、R中数据的计算任务综合性必做1计算机、R语言软件7逻辑与控制的使用27、逻辑与控制的使用综合性必做1计算机、R语言软件8二次函数的使用28、二次函数的使用综合性必做1计算机、R语言软件9三角函数的使用21、三角函数的使用综合性必做1计算机、R语言软件10指数函数及对数函数的使用21、指数函数及对数函数的使用综合性必做1计算机、R语言软件11矩阵运算的使用21、矩阵运算的使用综合性必做1计算机、R语言软件12高级绘图的使用21、绘制二维图形2、符号、线与坐标轴风格的选项综合性必做1计算机、R语言软件四、英文介绍“Data mining theory and technology” SyllabusCourse CodeCourse TitleData mining theory and technologyCourse CategorySpecialty-related CourseCourse NatureElective CourseClass HoursTotal hours: 40 hours on board: 24 hours of experiment: 0 hours of practice: 0Credits2SemesterInstituteSchool of Journalism and communicationProgram OrientedCommunication and JournalismTeaching LanguageChinesePrerequisitesStudent Outcomes (Special Training Ability)This course is to cultivate students learning ability, practical ability and support ability of research and innovation, curriculum through theory and experiment technology and software platform of the curriculum, students with professional learning and living needs of their own, for the development of database application system, awareness and ability to cultivate students knowledge and innovationTeaching ObjectivesThe purpose of this course is to introduce students to the basic knowledge of relational database technology comprehensively and the general principle, the basic category of the students in the understanding of data in relational database, data organization form each others logical relation and contact way of the master, analysis method of relational database technology based on the data, software and database management system able to skillfully use R language based data extraction, data processing and data organization output. At the same time, through the machine operation, experiment and practice, to enable students to deepen the understanding of the theory of relational database, improve the comprehensive ability to analyze and solve problems, and to grasp the method of query data and design business reports from the database by using R language.Course DescriptionData mining theory and technology is a basic compulsory course for undergraduates majoring in journalism, communication and technology. The task of this course is to enable students to master the ability of R language in digital capture and application technology of network public opinion on the basis of understanding the principles of database correctly.Instruments and EquipmentsComputer、R language software。Experiment ReportAssessmentThe assessment of this course consists of 2 parts, namely: usual results and final examination, the scores are 40% and 60% respectivelyTeaching Materials and Reference Books1, edited by Zhang Liangjun, R language data analysis and mining practice, mechanical industry press, first edition (October 2015)2, Brian, Dennis edited, R language learning guide, China Post and Telecommunications Publishing House, first edition (January 2016);3, Kaba C F (Robert I.Kabacoff) edited, R language combat, the peoples post and Telecommunications