教学目标:
The purpose of this course is to introduce the key technology of large data analysis and mining. It covers the basic concepts and data preparation of data analysis, data analysis method and demonstration, and the advanced application of data mining, so that students can improve the ability of large data analysis and digital decision-making.
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课程内容:
Chapter 1. Data Mining (8 hours) 1.1. Data Mining 1.2. Finding Similar Items Chapter 2. Key Technology (12 hours) 2.1. Mining Data Streams 2.2. Link Analysis 2.3.Frequent Item Sets 2.4. Clustering Chapter 3. Applications (12 hours) 3.1. Advertising on the Web 3.2. Recommendation Systems 3.3. Mining Social-network Graphs
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适用学生:
全日制硕士 非全日制硕士 留学硕士 进修硕士 硕博连读 本科直博 全日制博士 留学博士 进修博士 在职专硕 其他
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预修课程:
Preparatory Courses(预修课程):Program Engineering
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参考书目:
[1] Gabriel, Ian. Mining of Massive Datasets (third edition), Cambridge University Press, 2018
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备注:
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