TY  - BOOK
AU  - Aggarwal,Charu C.
TI  - Data mining: the textbook 
SN  - 9783319141411
U1  - 006.312 23
PY  - 2015///
CY  - Switzerland
PB  - Springer
KW  - Data mining.
KW  - Data Mining and Knowledge Discovery.
KW  - Pattern Recognition.
N1  - Includes bibliographical references and index; 1. An Introduction to Data Mining --
2. Data Preparation --
3. Similarity and Distances --
4. Association Pattern Mining --
5. Association Pattern Mining: Advanced Concepts --
6. Cluster Analysis --
7. Cluster Analysis: Advanced Concepts --
8. Outlier Analysis --
9. 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 --
Bibliography --
Index
N2  - 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 social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way
ER  -