Active systems are crucial for handling dynamic events in various domains, including business processes. The first work introduces an intelligent method using integer encoding for log pre-processing, Bat Optimization for feature selection, and Deep Convolutional Neural Networks for abnormal event detection, though CNNs lack spatial consistency. To address this, the second work implements Eclat-based Association Rule Mining (EARM) for detecting and prioritizing abnormal events, but it generates excessive candidate sets and requires extensive database scanning. The third work enhances incident...