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简介
Data Mining: The Textbook 豆 0.0分
资源最后更新于 2020-10-05 18:40:06
作者：Charu C. Aggarwal
出版社：Springer
出版日期：2015-01
ISBN：9783319141411
文件格式： pdf
标签： 数据挖掘 数据科学 DataScience 2015 IS IM CS AI
简介· · · · · ·
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and socia...
目录
01. An Introduction to Data Mining
02. Data Preparation
03. Similarity and Distances
04. Association Pattern Mining
05. Association Pattern Mining: Advanced Concepts
06. Cluster Analysis
07. Cluster Analysis: Advanced Concepts
08. Outlier Analysis
09. Outlier Analysis: Advanced Concepts
10. Data Classification
11. Data Classification: Advanced Concepts
12. Mining Data Streams
13. Mining Text Data
14. Mining Time Series Data
15. Mining Discrete Sequences
16. Mining Spatial Data
17. Mining Graph Data
18. Mining Web Data
19. Social Network Analysis
20. Privacy-Preserving Data Mining
02. Data Preparation
03. Similarity and Distances
04. Association Pattern Mining
05. Association Pattern Mining: Advanced Concepts
06. Cluster Analysis
07. Cluster Analysis: Advanced Concepts
08. Outlier Analysis
09. Outlier Analysis: Advanced Concepts
10. Data Classification
11. Data Classification: Advanced Concepts
12. Mining Data Streams
13. Mining Text Data
14. Mining Time Series Data
15. Mining Discrete Sequences
16. Mining Spatial Data
17. Mining Graph Data
18. Mining Web Data
19. Social Network Analysis
20. Privacy-Preserving Data Mining
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