Data mining : the textbook / Charu C. Aggarwal.
Material type:
- 9783319141411
- 006.312 23 Ag266
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 006.312 Ag266 (Browse shelf(Opens below)) | Available | 136606 |
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006.3101570 R178 Deep learning for the life sciences: applying deep learning to genomics microscopy drug discovery and more/ | 006.310727 C495 On adversarial robustness of deep learning systems/ | 006.312 Ad234 Data analysis and pattern recognition in multiple databases / | 006.312 Ag266 Data mining : | 006.312 Ah285 Practical guide to data mining for business and industry / | 006.312 Ah285 Practical guide to data mining for business and industry / | 006.312 Ak314 Big data computing / |
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.
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.
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