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 ...

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 ...

KDD 2022 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging science to papers assessing. This year’s papers were selected from over 2,000 ...

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.

Relational knowledge refers to simple relations among entities, such as (father, Bob, Alice). This type of knowledge is available via relational databases or knowledge graphs.