南京理工大学
《Data Mining & Big Data Analysis》课程内容简介
课程编码 L106C001 课程类别 必修课
课程名称 Data Mining & Big Data Analysis
英文名称 Data Mining & Big Data Analysis
开课院系 计算机科学与工程学院
开课季节 秋学期 授课方式 面授讲课
考核方式 考试 课件地址
考试方式 闭卷 成绩计算方法 期末100%
课程总学时 32 课程学分 2
实验学时 适用对象
课程类型 理论课 课程属性 必修
任 课 教 师
教师姓名性别所属院系职称年龄
周沧琦 计算机科学与工程学院 讲师 35

教学目标:
The purpose of this course is to introduce the key technology of large data analysis and mining. It covers the basic concepts and data preparation of data analysis, data analysis method and demonstration, and the advanced application of data mining, so that students can improve the ability of large data analysis and digital decision-making.

课程内容:
Chapter 1. Data Mining (8 hours)
1.1. Data Mining
1.2. Finding Similar Items
Chapter 2. Key Technology (12 hours)
2.1. Mining Data Streams
2.2. Link Analysis
2.3.Frequent Item Sets
2.4. Clustering
Chapter 3. Applications (12 hours)
3.1. Advertising on the Web
3.2. Recommendation Systems
3.3. Mining Social-network Graphs

适用学生:
全日制硕士    非全日制硕士    留学硕士    进修硕士    硕博连读    本科直博    全日制博士    留学博士    进修博士    在职专硕    其他    

预修课程:
Preparatory Courses(预修课程):Program Engineering

参考书目:
[1] Gabriel, Ian. Mining of Massive Datasets (third edition), Cambridge University Press, 2018

备注: