data stream mining

Data stream mining involves analyzing continuous flows of data generated by devices, sensors, or online activities in real-time. Instead of examining static datasets, it focuses on extracting meaningful patterns, trends, or insights as the data arrives. This allows organizations to make immediate decisions, detect anomalies, or predict future events. Think of it like monitoring live traffic to adjust signals instantly or tracking online activity to identify trends as they happen. It requires specialized algorithms capable of processing high-speed, ongoing data without storing everything, ensuring timely and relevant insights.