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Data mining : the textbook / Charu C. Aggarwal.

By: Material type: TextTextPublication details: Switzerland : Springer, 2015.Description: xxix, 734 p. : illustrations (some color) ; 27 cmISBN:
  • 9783319141411
Subject(s): DDC classification:
  • 006.312 23 Ag266
Contents:
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.
Summary: 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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Holdings
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
Total holds: 0

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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