Finite Trace

Finite trace analysis focuses on understanding and modeling sequences of events with a defined end point, a crucial task in diverse fields from process discovery to language modeling. Current research emphasizes efficient algorithms for analyzing these traces, including deterministic finite automata, deep learning models (like Transformers and LSTMs), and mixed-integer linear programming approaches for optimal decision tree construction. These advancements improve the accuracy and efficiency of tasks such as anomaly detection in system calls, classification of temporal logic properties from data, and gesture-based typing in Indic languages, impacting both theoretical computer science and practical applications.