15. Data transformation

The motivation for this course started with the development of information techniques. The amount of traffic data collected is growing at an increasing rate. At the same time, the users of these data are expecting more sophisticated analysis of these large data sets. The area of data mining has been developed over the last decade to address this problem.Data Mining is often defined as discovering useful but hidden patterns or relationships in a database, which is one of the hottest fields in computer science. It is a good field to study not only for computer science students, but also for transportation students, as well as lots of or engineer students because the same techniques can be used to solve many problems related to data mining that may arise during their career in the future.This course intends to cover the basic concepts of data mining as well as specific applications to transportation systems, including data preprocessing, instance-based learning, decision tree, support vector machine, neural network, outlier detection and ensemble learning. The instructors will introduce what the techniques are, what they can do, how they are used, and how they work.Welcome to join us.