Knowledge Discovery and Data Mining by Xingquan Zhu (.PDF)
File Size: 4 MB
Knowledge Discovery and Data Mining: Challenges and Realities By Xingquan Zhu, Xingquan Zhu; Ian Davidson
Requirements: .PDF reader, 4 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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