What are the steps of KDD process?

The Knowledge Discovery in Databases (KDD) process involves several key steps to extract meaningful and actionable insights from large datasets. The steps typically include data selection, pre-processing, transformation, data mining, evaluation, and interpretation of results. Data selection involves identifying and retrieving relevant data sources, while pre-processing involves cleaning and preparing the data for analysis. Transformation involves converting the data into a format suitable for mining, followed by the application of data mining techniques to identify patterns and trends. Evaluation assesses the quality and significance of the findings, and interpretation involves making sense of the results and deriving insights that can inform decision-making and drive business outcomes.

This mind map was published on 28 February 2024 and has been viewed 144 times.