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Anglický jazyk
Knowledge Discovery and Data Mining
Autor: Xingquan Zhu
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... Viac o knihe
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171.00 €
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O knihe
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.
- Vydavateľstvo: Information Science Reference
- Rok vydania: 2007
- Formát: Hardback
- Rozmer: 286 x 221 mm
- Jazyk: Anglický jazyk
- ISBN: 9781599042527
Nemecký jazyk 
