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.
| ISBN-13: | 9781599042527 |
| ISBN-10: | 1599042525 |
| Publisher: | Information Science Reference |
| Publication date: | 2007-04-30 |
| Pages: | 292 |
| Product dimensions: | Height: 11 Inches, Length: 8.5 Inches, Weight: 1.39552611846 Pounds, Width: 0.69 Inches |
| Author: | Xingquan Zhu, Ian Davidson |
| Language: | en |
| Binding: | Hardcover |
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