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.
2.1. The Downward Closure Property of Frequent Patterns
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您将学习的技能
Streams, Sequential Pattern Mining, Data Mining Algorithms, Data Mining
审阅
Jan 17, 2021
Excellent introduction to pattern mining algorithms. I also like liked the fact that there are hands on assignments not just theory.
Dec 31, 2020
Useful course. It covers all the fundamentals of data mining patterns for a wide spectrum of datasets.
从本节课中
Module 1
Module 1 consists of two lessons. Lesson 1 covers the general concepts of pattern discovery. This includes the basic concepts of frequent patterns, closed patterns, max-patterns, and association rules. Lesson 2 covers three major approaches for mining frequent patterns. We will learn the downward closure (or Apriori) property of frequent patterns and three major categories of methods for mining frequent patterns: the Apriori algorithm, the method that explores vertical data format, and the pattern-growth approach. We will also discuss how to directly mine the set of closed patterns.
教学方
Jiawei Han
Abel Bliss Professor
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