Pattern Discovery in Data Mining

开始时间: 08/01/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/data-patterns

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课程详情

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.

数据挖掘中的模式发现:了解数据挖掘的一般概念以及基本方法和应用程序。然后深入数据挖掘的一个子领域:模式发现。学习模式发现在数据挖掘中的深入概念,方法和应用。我们还将介绍数据驱动短语挖掘的方法以及模式发现的一些有趣应用。本课程为您提供学习技能和内容的机会,以实践和参与针对大量交易数据的可扩展模式发现方法,讨论模式评估方法,以及研究用于挖掘各种模式,顺序模式和子图模式的方法。

课程大纲

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.

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课程简介

Learn the general concepts of data mining along with basic methodologies and applications. Then dive

课程标签

数据挖掘 模式发现 数据挖掘中的模式发现 韩家炜

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