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Pattern Discovery in Data Mining
  • Level Foundation
  • Duration 17 hours
  • Course by University of Illinois Urbana-Champaign
  • Offered by

About

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.

Modules

Orientation

    • 1 Videos
    • 3 Readings
    • 1 Discussion
    • 1 Plugin
    • 1 Assignment
Show info about module content

1 Assignment

  • Orientation Quiz

1 Discussions

  • Getting to Know Your Classmates

1 Videos

  • Course Introduction

3 Readings

  • Syllabus
  • About the Discussion Forums
  • Social Media

Lesson 1: Pattern Discovery Basic Concepts

    • 3 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Lesson 1 Quiz

3 Videos

  • 1.1. What Is Pattern Discovery? Why Is It Important?
  • 1.2. Frequent Patterns and Association Rules
  • 1.3. Compressed Representation: Closed Patterns and Max-Patterns

1 Readings

  • Lesson 1 Overview

Lesson 2: Efficient Pattern Mining Methods

    • 6 Videos
    • 1 Readings
    • 1 Programming
    • 1 Assignment
Show info about module content

1 Programming

  • Frequent Itemset Mining Using Apriori

1 Assignment

  • Lesson 2 Quiz

6 Videos

  • 2.1. The Downward Closure Property of Frequent Patterns
  • 2.2. The Apriori Algorithm
  • 2.3. Extensions or Improvements of Apriori
  • 2.4. Mining Frequent Patterns by Exploring Vertical Data Format
  • 2.5. FPGrowth: A Pattern Growth Approach
  • 2.6. Mining Closed Patterns

1 Readings

  • Lesson 2 Overview

Lesson 3: Pattern Evaluation

    • 4 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Lesson 3 Quiz

4 Videos

  • 3.1. Limitation of the Support-Confidence Framework
  • 3.2. Interestingness Measures: Lift and χ2
  • 3.3. Null Invariance Measures
  • 3.4. Comparison of Null-Invariant Measures

1 Readings

  • Lesson 3 Overview

Lesson 4: Mining Diverse Frequent Patterns

    • 5 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Lesson 4 Quiz

5 Videos

  • 4.1. Mining Multi-Level Associations
  • 4.2. Mining Multi-Dimensional Associations
  • 4.3. Mining Quantitative Associations
  • 4.4. Mining Negative Correlations
  • 4.5. Mining Compressed Patterns

1 Readings

  • Lesson 4 Overview

Lesson 5: Sequential Pattern Mining

    • 5 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Lesson 5 Quiz

5 Videos

  • 5.1. Sequential Pattern and Sequential Pattern Mining
  • 5.2. GSP: Apriori-Based Sequential Pattern Mining
  • 5.3. SPADE—Sequential Pattern Mining in Vertical Data Format
  • 5.4. PrefixSpan—Sequential Pattern Mining by Pattern-Growth
  • 5.5. CloSpan—Mining Closed Sequential Patterns

1 Readings

  • Lesson 5 Overview

Lesson 6: Pattern Mining Applications: Mining Spatiotemporal and Trajectory Patterns

    • 5 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Lesson 6 Quiz

5 Videos

  • 6.1. Mining Spatial Associations
  • 6.2. Mining Spatial Colocation Patterns
  • 6.3. Mining and Aggregating Patterns over Multiple Trajectories
  • 6.4. Mining Semantics-Rich Movement Patterns
  • 6.5. Mining Periodic Movement Patterns

1 Readings

  • Lesson 6 Overview

Lesson 7: Pattern Mining Applications: Mining Quality Phrases from Text Data

    • 4 Videos
    • 1 Readings
    • 1 Programming
    • 1 Assignment
Show info about module content

1 Programming

  • Mining Contiguous Sequential Patterns in Text

1 Assignment

  • Lesson 7 Quiz

4 Videos

  • 7.1. From Frequent Pattern Mining to Phrase Mining
  • 7.2. Previous Phrase Mining Methods
  • 7.3. ToPMine: Phrase Mining without Training Data
  • 7.4. SegPhrase: Phrase Mining with Tiny Training Sets

1 Readings

  • Lesson 7 Overview

Lesson 8: Advanced Topics on Pattern Discovery

    • 5 Videos
    • 1 Readings
    • 1 Plugin
    • 1 Assignment
Show info about module content

1 Assignment

  • Lesson 8 Quiz

5 Videos

  • 8.1. Frequent Pattern Mining in Data Streams
  • 8.2. Pattern Discovery for Software Bug Mining
  • 8.3. Pattern Discovery for Image Analysis
  • 8.4. Advanced Topics on Pattern Discovery: Pattern Mining and Society—Privacy Issue
  • 8.5. Advanced Topics on Pattern Discovery: Looking Forward

1 Readings

  • Lesson 8 Overview

Auto Summary

Discover the essentials of data mining with a focus on pattern discovery in this foundational course by Coursera. Led by experts in Data Science & AI, you will explore methodologies, applications, and scalable methods for analyzing massive transactional data. Perfect for beginners, the course spans 1020 minutes and is available through a Starter subscription. Dive into data-driven phrase mining and learn to evaluate and mine diverse patterns, including sequential and sub-graph patterns. Ideal for those eager to enhance their data science skills.

Jiawei Han
Instructor

Jiawei Han