课程信息

29,966 次近期查看

学生职业成果

33%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 4 门课程(共 6 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为14 小时
英语(English)
字幕:英语(English), 韩语

您将获得的技能

StreamsSequential Pattern MiningData Mining AlgorithmsData Mining

学生职业成果

33%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 4 门课程(共 6 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为14 小时
英语(English)
字幕:英语(English), 韩语

提供方

伊利诺伊大学香槟分校 徽标

伊利诺伊大学香槟分校

立即开始攻读硕士学位

此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master in Computer Science。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 1 小时

Course Orientation

完成时间为 1 小时
1 个视频 (总计 7 分钟), 3 个阅读材料, 1 个测验
1 个视频
3 个阅读材料
Syllabus10分钟
About the Discussion Forums10分钟
Social Media10分钟
1 个练习
Orientation Quiz10分钟
完成时间为 4 小时

Module 1

完成时间为 4 小时
9 个视频 (总计 49 分钟), 2 个阅读材料, 3 个测验
9 个视频
1.2. Frequent Patterns and Association Rules5分钟
1.3. Compressed Representation: Closed Patterns and Max-Patterns7分钟
2.1. The Downward Closure Property of Frequent Patterns3分钟
2.2. The Apriori Algorithm6分钟
2.3. Extensions or Improvements of Apriori7分钟
2.4. Mining Frequent Patterns by Exploring Vertical Data Format3分钟
2.5. FPGrowth: A Pattern Growth Approach8分钟
2.6. Mining Closed Patterns3分钟
2 个阅读材料
Lesson 1 Overview10分钟
Lesson 2 Overview10分钟
2 个练习
Lesson 1 Quiz10分钟
Lesson 2 Quiz8分钟
2

2

完成时间为 1 小时

Module 2

完成时间为 1 小时
9 个视频 (总计 47 分钟), 2 个阅读材料, 2 个测验
9 个视频
3.2. Interestingness Measures: Lift and χ25分钟
3.3. Null Invariance Measures5分钟
3.4. Comparison of Null-Invariant Measures7分钟
4.1. Mining Multi-Level Associations4分钟
4.2. Mining Multi-Dimensional Associations2分钟
4.3. Mining Quantitative Associations4分钟
4.4. Mining Negative Correlations6分钟
4.5. Mining Compressed Patterns7分钟
2 个阅读材料
Lesson 3 Overview10分钟
Lesson 4 Overview10分钟
2 个练习
Lesson 3 Quiz10分钟
Lesson 4 Quiz8分钟
3

3

完成时间为 2 小时

Module 3

完成时间为 2 小时
10 个视频 (总计 56 分钟), 2 个阅读材料, 2 个测验
10 个视频
5.2. GSP: Apriori-Based Sequential Pattern Mining3分钟
5.3. SPADE—Sequential Pattern Mining in Vertical Data Format3分钟
5.4. PrefixSpan—Sequential Pattern Mining by Pattern-Growth4分钟
5.5. CloSpan—Mining Closed Sequential Patterns3分钟
6.1. Mining Spatial Associations4分钟
6.2. Mining Spatial Colocation Patterns9分钟
6.3. Mining and Aggregating Patterns over Multiple Trajectories9分钟
6.4. Mining Semantics-Rich Movement Patterns3分钟
6.5. Mining Periodic Movement Patterns7分钟
2 个阅读材料
Lesson 5 Overview10分钟
Lesson 6 Overview10分钟
2 个练习
Lesson 5 Quiz10分钟
Lesson 6 Quiz8分钟
4

4

完成时间为 5 小时

Week 4

完成时间为 5 小时
9 个视频 (总计 98 分钟), 2 个阅读材料, 3 个测验
9 个视频
7.2. Previous Phrase Mining Methods10分钟
7.3. ToPMine: Phrase Mining without Training Data12分钟
7.4. SegPhrase: Phrase Mining with Tiny Training Sets14分钟
8.1. Frequent Pattern Mining in Data Streams19分钟
8.2. Pattern Discovery for Software Bug Mining12分钟
8.3. Pattern Discovery for Image Analysis6分钟
8.4. Advanced Topics on Pattern Discovery: Pattern Mining and Society—Privacy Issue13分钟
8.5. Advanced Topics on Pattern Discovery: Looking Forward4分钟
2 个阅读材料
Lesson 7 Overview10分钟
Lesson 8 Overview10分钟
2 个练习
Lesson 7 Quiz8分钟
Lesson 8 Quiz8分钟

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关于 数据挖掘 专项课程

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
数据挖掘

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