Description: Pattern mining is the process of discovering patterns in large datasets, often used in market analysis and customer segmentation. This approach falls within data mining and unsupervised learning, where the goal is to identify hidden structures and meaningful relationships without the need for predefined labels. Through techniques such as clustering, association, and anomaly detection, pattern mining enables organizations to extract valuable information that can be used for strategic decision-making. The main characteristics of this process include the ability to handle large volumes of data, the identification of complex patterns, and the generation of insights that may not be immediately apparent. The relevance of pattern mining lies in its application across various industries, where the aim is to optimize processes, enhance customer experience, and increase operational efficiency. In a world where data is becoming increasingly abundant, pattern mining becomes an essential tool for transforming data into useful knowledge.
