Pattern Discovery in Data Mining

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳 - 香槟分校）

授课老师： Jiawei Han

课程主页: https://www.coursera.org/course/patterndiscovery

课程评论: 1 个评论

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课程简介

Learn the basic concepts of data mining and dive deep into pattern discovery methods and their applications.

课程大纲

This course will be covering the following topics:

Introduction to data mining
Concepts and challenges in pattern discovery and analysis
Scalable pattern discovery algorithms
Pattern evaluation
Mining flexible patterns in multi-dimensional space
Mining sequential patterns
Mining graph patterns
Pattern-based classification
Application examples of pattern discovery

课程评论(1条)

0	王亮_eecs 2015-03-22 12:54 0 票支持; 0 票反对老师是数据挖掘领域的大牛，这门课第一次开，还是有一些不足。课程内容很丰富，糅合了很多近些年数据挖掘领域提出的算法模型，但也仅仅是粗浅的介绍，很多算法甚至只提了一下名字。对于初学者来说，是很难能够深刻理解的。关于作业，只有每周的quiz，而且quiz里面还被发现了一些答案有误的情况。。。对学习者的体验还是有些影响。另外，个人觉得最好能够配合一些编程作业，提高动手能力。

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 pattern-based classification 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.

课程标签

数据挖掘模式识别