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Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This Premier Reference Source presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying, low-quality data. International experts in the field of data mining have contributed all-inclusive chapters focusing on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing.
| Autorius: | Xingquan Zhu, Ian Davidson, |
| Leidėjas: | Information Science Reference |
| Išleidimo metai: | 2007 |
| Knygos puslapių skaičius: | 292 |
| ISBN-10: | 1599042525 |
| ISBN-13: | 9781599042527 |
| Formatas: | 286 x 221 x 20 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Knowledge Discovery and Data Mining: Challenges and Realities“
