Knowledge Discovery and Data Mining: Challenges and Realities

Knowledge Discovery and Data Mining: Challenges and Realities by Xingquan Zhu is a comprehensive reference publication from Information Science Reference, released on April 30, 2007. This 292-page book is written in English and delves into the exploration of meaningful information from large volumes of data, particularly addressing the challenges posed by low-quality data.
Readers will find a collection of in-depth experiences and methodologies aimed at advancing knowledge discovery. The book features contributions from international experts in the field, focusing on interdisciplinary collaborations that encompass data quality, data processing, and data privacy. This edition serves as a valuable resource for researchers and practitioners seeking theoretical and empirical guidance in the realm of data mining and expert systems.
Official synopsis Publisher
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.
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