Chevron Left
Back to Pattern Discovery in Data Mining

Learner Reviews & Feedback for Pattern Discovery in Data Mining by University of Illinois at Urbana-Champaign

4.3
stars
316 ratings

About the Course

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns....

Top reviews

DD

Sep 9, 2017

The first several chapters are very impressive. The last three lessons are a little difficult for first-learners. The illustration are clear and easy to understand.

GL

Jan 17, 2018

Excellent course. Now I have a big picture about pattern discovery and understand some popular algorithm. Also professor points out the direction for further study.

Filter by:

51 - 57 of 57 Reviews for Pattern Discovery in Data Mining

By Aleksandra H

May 26, 2019

Briefly described a lot of stuff that could have been explained more visually and demonstrated with step-by-step examples more often. This might be expected for a 4-week course, but it would have been nice to extend it instead of trying to fit it into a compressed time frame. The required programming assignment could have been clearer about how the work should be structured and submitted.

By Sergey

Feb 12, 2019

A good overview of data mining. The course turned out to be quite casual, with many quizzes requiring only knowledge of some definitions which disappeared from my short-lived memory in no time. I suppose it is based on a much more detailed and challenging one taught at the University of Illinois. On the other hand, programming assignments were fun.

By Logan J T

May 15, 2018

I would prefer to see this class split into two. I felt topics did not receive enough time to truly learn them. I would also like to see a more advanced course that required programming assignments.

By Alan J R

Feb 20, 2020

Way too hard to find out whta the teacher was talking abut, had to make too much research on texts. Specially about CP-Miner. For the rest, great!

By Devender B

Mar 6, 2019

One star less because of errors in the quiz questions which is not acceptable when it is mandatory to pass

By Red R

Jan 18, 2022

Certain lectures unclear

By Raj A S

Apr 11, 2019

very time consuming