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Module 2: Data Mining Fundamentals and Association Rule Mining

20202m

The full form of KDD is

(i) knowledge database
(ii) knowledge discovery in databases
(iii) knowledge data division
(iv) knowledge data definition

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Answer: (ii) knowledge discovery in databases

KDD stands for Knowledge Discovery in Databases — the overall, multi-step process of turning raw data into useful, actionable knowledge. Data mining is technically just one step within KDD (the pattern-extraction step), while KDD as a whole covers:

Data ─▶ Selection ─▶ Preprocessing ─▶ Transformation ─▶ Data Mining ─▶ Interpretation/Evaluation ─▶ Knowledge

People often use "data mining" and "KDD" interchangeably in casual usage, but formally, data mining is embedded inside the broader KDD pipeline.

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