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- Author: Xingquan Zhu
- Publisher: Information Science Reference
- Year: 2007
- ISBN-10: 1599042525
- ISBN-13: 9781599042527
- Format: 21.9 x 28.6 x 2.4 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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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.
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Xingquan Zhu
- Publisher: Information Science Reference
- Year: 2007
- ISBN-10: 1599042525
- ISBN-13: 9781599042527
- Format: 21.9 x 28.6 x 2.4 cm, kieti viršeliai
- Language: English English
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.
Reviews