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Knowledge Discovery and Data Mining: Challenges and Realities
Xingquan Zhu
Knowledge Discovery and Data Mining: Challenges and Realities
Xingquan Zhu
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.
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | April 30, 2007 |
ISBN13 | 9781599042527 |
Publishers | IGI Global |
Pages | 274 |
Dimensions | 219 × 286 × 24 mm · 1.11 kg |
Language | English |
Contributor | Ian Davidson |
Contributor | Xingquan Zhu |
See all of Xingquan Zhu ( e.g. Hardcover Book )