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.
Data Mining SpecializationUniversity of Illinois at Urbana-Champaign
About this Course
6,353 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 6 in the
Approx. 17 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Streams
- Sequential Pattern Mining
- Data Mining Algorithms
- Data Mining
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 6 in the
Approx. 17 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessPrepare for a degree
Taking Master of Computer Science by University of Illinois at Urbana-Champaign may provide you with a preview of the topics, materials and instructors covered in a related degree program which can help you decide if it is right for you.
Syllabus - What you will learn from this course
2 hours to complete
Course Orientation
2 hours to complete
1 video (Total 7 min), 3 readings, 1 quiz
5 hours to complete
Module 1
5 hours to complete
9 videos (Total 49 min), 2 readings, 3 quizzes
2 hours to complete
Module 2
2 hours to complete
9 videos (Total 47 min), 2 readings, 2 quizzes
2 hours to complete
Module 3
2 hours to complete
10 videos (Total 56 min), 2 readings, 2 quizzes
6 hours to complete
Week 4
6 hours to complete
9 videos (Total 98 min), 2 readings, 3 quizzes
Reviews
- 5 stars57.14%
- 4 stars23.49%
- 3 stars12.38%
- 2 stars3.80%
- 1 star3.17%
TOP REVIEWS FROM PATTERN DISCOVERY IN DATA MINING
by ASDec 16, 2019
Good course. The explanation for the optional programming assignment is very poor.
by CYDec 12, 2017
It is a good course but more knowledge are expected to be filled, e.g, some algorithm can be detailed or illustrated with simple-case instantiation.
by VBOct 30, 2019
Good course, Faculty has excellent knowledge and well explaind
by VBAug 9, 2019
Large variety of algorithm presented. Good study material recommendations. Fun assignments.
About the Data Mining Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.