What is Knowledge Discovery in Databases KDD?

Understanding Knowledge Discovery in Databases KDD

A mathematical statistical and visualization method of identifying valid and useful patterns in data. KDD is a comprehensive process for extracting knowledge from data comprising data selection preprocessing transformation data mining and interpretation/evaluation steps. This systematic approach helps discover meaningful patterns relationships and insights that might not be immediately apparent. KDD is referenced in data analytics standards and security analytics frameworks. Organizations implement KDD through data warehousing analytics platforms machine learning technologies and specialized analysis methodologies. For example a cybersecurity team might apply KDD processes to network traffic data to identify patterns of normal behavior discover anomalies indicating potential security incidents and extract actionable intelligence about emerging threats that might not be detected by traditional rule-based systems. Related terms Data mining Machine learning Big data analytics Pattern recognition Anomaly detection Predictive analytics CRISP-DM methodology.