课程简介
Course Introduction
通过此课程学生可以掌握大数据知识发现与应用的基本方法，包括聚类，分类，数据处理等，并能够按照工程学的方法，解决实际应用上的大数据知识发现问题，如医疗，交通方面的问题，以保证大数据相关项目的正常实施。课程也会涉及机器学习方面的技术，总体培养以偏向实际应用为主，科研解决问题能力为辅。
教学大纲
Teaching Syllabus
Week 1 Introduction to Big Data Knowledge Discovery and Application/Clustering
Week 2 Classification/Evaluation Methods/Student Presentations
Week 3 Recommendation System/Student Presentations
Week 4 Expert Talk/Student Presentations
Week 5 Data Visualization/Forecasting System/Student Presentations
Week 6 Knowledge Discovery on Transportation/Student Presentations
Week 7 Knowledge Discovery on Education/Student Presentations
Week 8 Student Presentations/Conclusions
