What are the challenges of real-time data mining systems?

Real-time data mining faces challenges in latency, scalability, and evolving data streams.

Real-time systems must process continuous streams with minimal delay while maintaining accuracy. Challenges include handling high velocity data, concept drift, memory constraints, and ensuring fault tolerance. Stream mining algorithms and distributed systems like Spark Streaming or Flink are used to address these constraints.