UIUC - Pattern Discovery in Data Mining
- Offered byCoursera
Pattern Discovery in Data Mining at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Pattern Discovery in Data Mining at Coursera Highlights
- 33%
got a tangible career benefit from this course. - Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Pattern Discovery in Data Mining at Coursera Course details
- 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.
Pattern Discovery in Data Mining at Coursera Curriculum
Course Orientation
Course Introduction
Syllabus
About the Discussion Forums
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Orientation Quiz
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
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
Lesson 1 Overview
Lesson 2 Overview
Lesson 1 Quiz
Lesson 2 Quiz
Module 2
3.1. Limitation of the Support-Confidence Framework
3.2. Interestingness Measures: Lift and ?2
3.3. Null Invariance Measures
3.4. Comparison of Null-Invariant Measures
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
Lesson 3 Overview
Lesson 4 Overview
Lesson 3 Quiz
Lesson 4 Quiz
Module 3
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
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
Lesson 5 Overview
Lesson 6 Overview
Lesson 5 Quiz
Lesson 6 Quiz
Week 4
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
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
Lesson 7 Overview
Lesson 8 Overview
Lesson 7 Quiz
Lesson 8 Quiz
Pattern Discovery in Data Mining at Coursera Admission Process
Important Dates
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