About this Course
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Learner Career Outcomes

33%

got a tangible career benefit from this course

Course 4 of 6 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 16 hours to complete

English

Subtitles: English, Korean

Skills you will gain

StreamsSequential Pattern MiningData Mining AlgorithmsData Mining

Learner Career Outcomes

33%

got a tangible career benefit from this course

Course 4 of 6 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 16 hours to complete

English

Subtitles: English, Korean

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Course Orientation

1 video (Total 7 min), 3 readings, 1 quiz
1 video
3 readings
Syllabus10m
About the Discussion Forums10m
Social Media10m
1 practice exercise
Orientation Quiz10m
4 hours to complete

Module 1

9 videos (Total 49 min), 2 readings, 3 quizzes
9 videos
1.2. Frequent Patterns and Association Rules5m
1.3. Compressed Representation: Closed Patterns and Max-Patterns7m
2.1. The Downward Closure Property of Frequent Patterns3m
2.2. The Apriori Algorithm6m
2.3. Extensions or Improvements of Apriori7m
2.4. Mining Frequent Patterns by Exploring Vertical Data Format3m
2.5. FPGrowth: A Pattern Growth Approach8m
2.6. Mining Closed Patterns3m
2 readings
Lesson 1 Overview10m
Lesson 2 Overview10m
2 practice exercises
Lesson 1 Quiz10m
Lesson 2 Quiz8m
Week
2
1 hour to complete

Module 2

9 videos (Total 47 min), 2 readings, 2 quizzes
9 videos
3.2. Interestingness Measures: Lift and χ25m
3.3. Null Invariance Measures5m
3.4. Comparison of Null-Invariant Measures7m
4.1. Mining Multi-Level Associations4m
4.2. Mining Multi-Dimensional Associations2m
4.3. Mining Quantitative Associations4m
4.4. Mining Negative Correlations6m
4.5. Mining Compressed Patterns7m
2 readings
Lesson 3 Overview10m
Lesson 4 Overview10m
2 practice exercises
Lesson 3 Quiz10m
Lesson 4 Quiz8m
Week
3
2 hours to complete

Module 3

10 videos (Total 56 min), 2 readings, 2 quizzes
10 videos
5.2. GSP: Apriori-Based Sequential Pattern Mining3m
5.3. SPADE—Sequential Pattern Mining in Vertical Data Format3m
5.4. PrefixSpan—Sequential Pattern Mining by Pattern-Growth4m
5.5. CloSpan—Mining Closed Sequential Patterns3m
6.1. Mining Spatial Associations4m
6.2. Mining Spatial Colocation Patterns9m
6.3. Mining and Aggregating Patterns over Multiple Trajectories9m
6.4. Mining Semantics-Rich Movement Patterns3m
6.5. Mining Periodic Movement Patterns7m
2 readings
Lesson 5 Overview10m
Lesson 6 Overview10m
2 practice exercises
Lesson 5 Quiz10m
Lesson 6 Quiz8m
Week
4
5 hours to complete

Week 4

9 videos (Total 98 min), 2 readings, 3 quizzes
9 videos
7.2. Previous Phrase Mining Methods10m
7.3. ToPMine: Phrase Mining without Training Data12m
7.4. SegPhrase: Phrase Mining with Tiny Training Sets14m
8.1. Frequent Pattern Mining in Data Streams19m
8.2. Pattern Discovery for Software Bug Mining12m
8.3. Pattern Discovery for Image Analysis6m
8.4. Advanced Topics on Pattern Discovery: Pattern Mining and Society—Privacy Issue13m
8.5. Advanced Topics on Pattern Discovery: Looking Forward4m
2 readings
Lesson 7 Overview10m
Lesson 8 Overview10m
2 practice exercises
Lesson 7 Quiz8m
Lesson 8 Quiz8m
4.2
44 ReviewsChevron Right

Top reviews from Pattern Discovery in Data Mining

By DDSep 10th 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.

By GLJan 18th 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.

Instructor

Avatar

Jiawei Han

Abel Bliss Professor
Department of Computer Science

Start working towards your Master's degree

This course is part of the 100% online Master in Computer Science from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

About University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

About the Data Mining Specialization

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
Data Mining

Frequently Asked Questions

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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