Knowledge Discovery and Data Mining: Challenges and Realities

Description

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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1. Ebooks list page : 2507
2. Multimedia Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
3. Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)
4. Advances in Knowledge Discovery and Data Mining
5. Data Mining: A Knowledge Discovery Approach
6. Data Mining: Knowledge Discovery Methods
7. Data Mining: Knowledge Discovery Methods
8. Multimedia Data Mining and Knowledge Discovery
9. Statistical Data Mining & Knowledge Discovery
10. Data Mining and Knowledge Discovery Technologies
11. Mathematical Methods for Knowledge Discovery and Data Mining
12. Geographic Data Mining and Knowledge Discovery, Second Edition
13. Mathematical Methods for Knowledge Discovery and Data Mining
14. Mathematical Methods for Knowledge Discovery and Data Mining
15. Introduction to Data Mining and Knowledge Discovery, Third Edition
16. Soft Computing for Knowledge Discovery and Data Mining