Mathematical tools for data mining : set theory, partial orders, combinatorics / Dan A. Simovici and Chabane Djeraba.
Material type:
TextSeries: Advanced information and knowledge processingPublication details: London : Springer-Verlag, 2014.Edition: 2nd edDescription: xi, 831 p. : illustrations ; 24 cmISBN: - 9781447164067 (hbk.)
- 006.312 Si611 23
| Item type | Current library | Call number | Status | Notes | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.312 Si611 (Browse shelf(Opens below)) | Available | Gifted by Prof Sankar Kumar Pal (CSCR) | C27077 | |||
| Books | ISI Library, Kolkata | 006.312 Si611 (Browse shelf(Opens below)) | Available | C26276 | ||||
| Books | ISI Library, Kolkata | 006.312 Si611 (Browse shelf(Opens below)) | Available | 135388 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| 006.312 Si611 Linear algebra tools for data mining | 006.312 Si611 Mathematical tools for data mining : | 006.312 Si611 Mathematical tools for data mining : | 006.312 Si611 Mathematical tools for data mining : | 006.312 St814 Algorithms for data science / | 006.312 T164 Exploring advances in interdisciplinary data mining and analytics : | 006.312 T215 Data mining applications using artificial adaptive systems / |
Previous edition: 2008.
Includes bibliographical references and index.
1. Sets, Relations and Functions --
2. Partially Ordered Sets --
3. Combinatorics --
4. Topologies and Measures --
5. Linear Spaces --
6. Norms and Inner Products --
7. Spectral Properties of Matrices --
8. Metric Spaces Topologies and Measures --
9. Convex Sets and Convex Functions --
10. Graphs and Matrices --
11. Lattices and Boolean Algebras --
12. Applications to Databases and Data Mining --
13. Frequent Item Sets and Association Rules --
14. Special Metrics --
15. Dimensions of Metric Spaces --
16. Clustering--
Index--
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained, and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.
There are no comments on this title.
