Created by:   University of Illinois at Urbana-Champaign

  • Jiawei Han

    Taught by:    Jiawei Han, Abel Bliss Professor

    Department of Computer Science
Basic Info
Course 4 of 6 in the Data Mining Specialization.
How To PassPass all graded assignments to complete the course.
User Ratings
4.0 stars
Average User Rating 4.0See what learners said
Course 4 of Specialization


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Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Ratings and Reviews
Rated 4 out of 5 of 38 ratings

It's a comprehensive review of most pattern mining techniques and applications. It provides a good understanding of how to use them and furthermore, several references for further information. However, I believe some topics should have a greater impact on students, for example spatio-temporal pattern mining techniques are quickly reviewed. There should be more work on some topics.

very nice!

I learned a lot from this lecture. And I believe the lecture is excellent except that if he could become a little bit funny, then it would be perfect. Thanks,


I like this course. Its provides a good base for pattern discovery, with useful high level techniques, this can be used as a starting point.

Something to improve can be incorporating at least one lesson with best practice coding techniques to solve the practical exercises.