From Big Data to Data Mining; [Von Big Data zu Data Mining]

Abstract

This article explores the movement from Big Data to Data Mining. Large datasets may contain useful patterns, but those patterns often require systematic methods to be discovered and interpreted. Data mining involves identifying relationships, clusters or trends that can support analysis and decision-making. When datasets include geographic information, spatial analysis can add context by revealing how patterns vary across locations. The process depends on data quality, suitable algorithms and careful interpretation of results. The topic highlights the difference between collecting large amounts of data and extracting information that answers a clear question.