• Knowledge Discovery and Data Mining: Challenges and Realities

Knowledge Discovery and Data Mining: Challenges and Realities

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Est. Date: Jan 20, 2026

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.

  • Author(s): Xingquan Zhu, Ian Davidson
  • Publisher: Information Science Reference
  • Language: en
  • Pages: 292
  • Binding: Hardcover
  • Published: 2007-04-30
  • Dimensions: Height: 11 Inches, Length: 8.5 Inches, Weight: 1.39552611846 Pounds, Width: 0.69 Inches
  • Estimated Delivery: Jan 20, 2026
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