Data mining involves extracting useful patterns or knowledge from large datasets using techniques such as statistical analysis, machine learning, and pattern recognition.
Imagine you have a treasure map with hidden clues scattered throughout it. Data mining is like analyzing the map, deciphering the clues, and uncovering valuable information that leads you to the treasure.
Big data: Big data refers to extremely large and complex datasets that cannot be easily managed or analyzed using traditional methods.
Clustering: Clustering is a data mining technique that involves grouping similar objects together based on their characteristics or attributes.
Association rule mining: Association rule mining is a technique used in data mining to discover interesting relationships or patterns among items in large datasets.
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