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. © 2007 by IGI Global. All rights reserved.
CITATION STYLE
Zhu, X., & Davidson, I. (2007). Knowledge discovery and data mining: Challenges and realities. Knowledge Discovery and Data Mining: Challenges and Realities (pp. 1–274). IGI Global. https://doi.org/10.4018/978-1-59904-252-7
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