Data analysis and pattern recognition in multiple databases / Animesh Adhikari, Jhimli Adhikari and Witold Pedrycz.
Material type:
TextSeries: Intelligent systems reference library ; 61Publication details: Switzerland : Springer, 2014.Description: xv, 238 p. ; illISBN: - 9783319034096
- 23 Ad234 006.312
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.312 Ad234 (Browse shelf(Opens below)) | Available | 135482 |
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| 006.31015195 Ar658 A computational approach to statistical learning/ | 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 / |
Includes index.
1. Introduction--
2. Synthesizing Different Extreme Association Rules in Multiple Database--
3. Clustering items in time-stamped databases induced by stability --
4. Synthesizing Global Patterns in Multiple Large Data Sources--
5. Clustering Local Frequency Items in Multiple Data Sources --
6. Mining Patterns of Select Items in Different Data Sources--
7. Synthesizing Global Exceptional Patterns in different Data sources--
8. Mining Icebergs in different Time-Stamped data Sources--
9. Mining Calendar-Based Periodic Patterns in Time-Stamped data--
10. Measuring Influence of an Item in Time-Stamped databases--
11. Summary and Conclusions--
Index.
Data Analysis and Pattern Recognition in Multiple Databases.
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