EE448 Big Data Mining 2019
John Hopcroft Center for Computer Science
Shanghai Jiao Tong University
Email: wnzhang [AT] sjtu.edu.cn
Big data driven techniques have been revolutionizing various aspects of our daily life. Big data means not only big volume but also high dimension and diversity. How to collect, represent, process and compute so as to successfully mine valuable patterns and acquire benefit from the big data is a fundamental challenge to both academia and industry.
This course provides a comprehensive introduction of the fundamental problems and methodologies of big data mining. The organization of the course would be application oriented, which helps SEIEE students get familar with various data mining tasks and basic solutions. Via lectures, hands-on courseworks and poster presentations, the students are expected to acquire the basic theory, algorithms, and some practice experience of big data mining techniques. It would also help students find their interested research topics, which could benefit their further graduate study and industrial practice.
Haiwen Wang and Zhaorun Han appointed as the TAs of this course.
|Lecture 1: Introduction to Big Data Mining
Basic concepts, history and some examples of data mining.
Feb. 27, 2019
|Lecture 2: Know Your Data
Data representation, visualization and proximity measures.
Mar. 6, 2019
|Lecture 3: Fundamental Data Mining Algorithms
Frequent patterns, association rules, Apriori, FPGrowth, KNN.
Mar. 13, 2019
|Lecture 4: Supervised Learning (Part I)
Intro to machine learning, linear regression and logisitic regression.
Mar. 20, 2019
- UIUC CS512 Data Mining: Principles and Algorithms. by Prof. Jiawei Han.
- Stanford CS229 Machine Learning course by Prof. Andrew Ng.
- Top 10 algorithms in data mining by Xindong Wu et al. 2008.
- Matrix Cookbook: fundamentals of matrix calculations.
|Haiwen Wang, 2018 Ph.D student at IIoT
Research on data mining, graph deep learning
Email: wanghaiwencn [at] foxmail.com
|Zhaorun Han, 2018 M.S. student at IIoT
Research on big data analysis
Email: hanzhaorun [at] sjtu.edu.cn
|EE448 Big Data Mining 2018
Compared to EE448 2018, EE448 2019 will provide more DM scenarios and advanced DM researches.
Feb. 26, 2019