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About Knowledge Discovery and Data Mining: Challenges and Realities
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.
Detailed Information
| Author: | Xingquan Zhu, Xingquan Zhu; Ian Davidson |
|---|---|
| Publication Year: | 2007 |
| ISBN: | 9781599042541 |
| Pages: | 291 |
| Language: | English |
| File Size: | 3.778 |
| Format: | |
| Price: | FREE |
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