Data Mining
Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence,machine learning, statistics, and database systems. It is sometimes called Knowledge Discovery in Databases (KDD) . The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages: (1) Selection (2) Pre-processing (3) Transformation (4) Data Mining (5) Interpretation/Evaluation Data mining involves six common classes of tasks: 1)Anomaly detection (Outlier/change/deviation detection) – The identification of unusual data records, that might be interesting or data errors that require further investigation. 2)Association rule learning (Dependency modeling) – Searches for relationships between variables. For example a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarke...
