Knowledge Discovery in Databases (KDD): A comprehensive process involving data pre‐processing, pattern extraction, evaluation and the transformation of raw data into actionable knowledge.

Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases ...

In our view, KDD [Knowledge Discovery in Databases] refers to the overall process of discovering useful knowledge from data, and data mining refers to a particular step in this process.

Knowledge discovery in databases (KDD) techniques have been extensively employed to extract knowledge from massive data stores to support decision making in a wide range of critical applications.

Thesis/Dissertation Title: "Applying the Knowledge Discovery in Database Process Model as a Framework to Enhance Educational Data Mining and Learning Analytics” Dissertation Committee Hsien-Yuan Hsu ...

"With its unrivalled level of quality, Aureus Pharma’s knowledge driven discovery platform provides drug discovery teams with comprehensive information to accelerate both the drug discovery and ...