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Beschreibung
The privacy preserving data mining has become an essential concern due to the rapid growth of electronic data in governments and different organizations. Association rule hiding is a subarea of privacy preserving data mining. This book presents new approach that has capability to hide sensitive association rules with zero hiding failure.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 13. September 2017 |
| Maße | 22 cm x 15 cm x 0.8 cm |
| Gewicht | 179 Gramm |
| Format | Softcover |
| ISBN-13 | 9786202051309 |
| Seiten | 108 |
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