电子科技大学：《数据分析与数据挖掘 Data Analysis and Data Mining》课程教学资源（课件讲稿）Lecture 01 Overview Data Analysis and Data Mining（李晓瑜）

Lecture 1 Overview Data Analysis and Data Mining Dr.李晓瑜Xiaoyu Li Email:xiaoyuuestc@uestc.edu.cn http://blog.sciencenet.cn/u/uestc2014xiaoyu 2019-Spring SunData Group http://www.sundatagroup.org School of Information and Software Engineering,UESTC 1966 Copyright2019 by Xiaoyu Li

Dr.李晓瑜 Xiaoyu Li Email：xiaoyuuestc@uestc.edu.cn http://blog.sciencenet.cn/u/uestc2014xiaoyu 2019-Spring Lecture 1 Overview Data Analysis and Data Mining SunData Group http://www.sundatagroup.org/ School of Information and Software Engineering, UESTC Copyright © 2019 by Xiaoyu Li. 1

C3at3e美0是10 Content (3H) ●1.1What's big data? 1.2 Overview of data analysis 1.3 Overview of data mining 1.4 Make requirement for different professional applications 3 Copyright 2019 by Xiaoyu Li

Content（3H）  1.1 What’s big data?  1.2 Overview of data analysis  1.3 Overview of data mining  1.4 Make requirement for different professional applications Copyright © 2019 by Xiaoyu Li. 3

sunData Groun Reference ·Text Book 数据挖掘 数据挖掘 概念与技术 实用机器学习技术 Data Mining,Jiawei Han,Micheline Kamber and Jian Pei,Mechanical industry press(2012) DATA MINING ·Reference Book 1)Tamhane,Ajit C.,and Dorothy D.Dunlop Statistics and Data Analysis:From Elementary to Intermediate.Prentice Hall,1999. 集体智慧 2)统计学习方法（李航） 佛计学习方法 编程 。Couresa 1)Machine Learning (Andrew Ng) 2)Data Mining (Stanford) nn出 ORE了 型4出 3)Statistical Thinking and Data Analysis (MIT) 4 Copyright 2019 by Xiaoyu Li

Reference Copyright © 2019 by Xiaoyu Li. 4  Text Book  Data Mining, Jiawei Han, Micheline Kamber and Jian Pei, Mechanical industry press(2012)  Reference Book 1）Tamhane, Ajit C., and Dorothy D. Dunlop. Statistics and Data Analysis: From Elementary to Intermediate. Prentice Hall, 1999. 2）统计学习方法（李航）  Couresa 1）Machine Learning（Andrew Ng） 2）Data Mining（Stanford） 3）Statistical Thinking and Data Analysis （MIT）

GunData Groun Target 1 Know the characteristics of big data; 2 Clear how to get the data analysis requirements; 3 Know the differences and correlations between data analysis and data mining. 5 Copyright 2019 by Xiaoyu Li

Target  1 Know the characteristics of big data;  2 Clear how to get the data analysis requirements;  3 Know the differences and correlations between data analysis and data mining. Copyright © 2019 by Xiaoyu Li. 5

Big Data BIG DATA ERA IS COMING 6 Copyright 2019 by Xiaoyu Li

Copyright © 2019 by Xiaoyu Li. 6 Big Data