Reasoning about temporal relations: a maximal tractable subclass of Allen's interval algebra
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Reasoning about temporal relations: a maximal tractable subclass of Allen's interval algebra
Journal of the ACM (JACM)
Point vs. interval-based query languages for temporal databases (extended abstract)
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Maintaining knowledge about temporal intervals
Communications of the ACM
High-performance complex event processing over streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Mining Nonambiguous Temporal Patterns for Interval-Based Events
IEEE Transactions on Knowledge and Data Engineering
Mining relationships among interval-based events for classification
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Plan-based complex event detection across distributed sources
Proceedings of the VLDB Endowment
Complex event pattern detection over streams with interval-based temporal semantics
Proceedings of the 5th ACM international conference on Distributed event-based system
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Event stream processing (ESP) has become increasingly important in modern applications, ranging from supply chain management to real-time intrusion detection. Existing ESP engines have focused on detecting temporal patterns from instantaneous events, that is, events with no duration. Under such a model, an event instance can only be happening "before", "after" or "at the same time as" another event instance. However, such sequential patterns are inadequate to express the complex temporal relationships in domains such as medical, finance and meteorology, where the events' durations could play an important role.