Problems in formal temporal reasoning
Artificial Intelligence
Dynamic across-time measurement interpretation
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
RE´SUME´: a temporal-abstraction system for patient monitoring
Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
A model and a language for the fuzzy representation and handling of time
Fuzzy Sets and Systems
Combining qualitative and quantitative constraints in temporal reasoning
Artificial Intelligence
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Learning Qualitative Models of Dynamic Systems
Machine Learning - special issue on inductive logic programming
A spectrum of definitions for temporal model-based diagnosis
Artificial Intelligence
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
Maintaining knowledge about temporal intervals
Communications of the ACM
Dynamic temporal interpretation contexts for temporal abstraction
Annals of Mathematics and Artificial Intelligence
Adding Temporal Reasoning to Expert-System-Building Environments
IEEE Expert: Intelligent Systems and Their Applications
Using Time-Oriented Data Abstraction Methods to Optimize Oxygen Supply for Neonates
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Dataless Transitions Between Concise Representations of Frequent Patterns
Journal of Intelligent Information Systems
Fuzzy constraint networks for signal pattern recognition
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Interpreting Historical ICU Data Using Associational and Temporal Reasoning
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Artificial Intelligence in Medicine
Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains
Artificial Intelligence in Medicine
Temporal constraint reasoning with preferences
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Discovering metric temporal constraint networks on temporal databases
Artificial Intelligence in Medicine
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The need to provide high level descriptions of the evolution of data is evident in fields like medicine. For being able to perform task such as diagnostic or monitoring, it is very important to facilitate a high level representation and management of temporal data. With this representation two main benefits are obtained: it becomes easier to compare data with generic knowledge, and the volume of data can be reduced. Several models have been proposed for time representation and management. Temporal constraints have been extensively used as a liable model in problems where temporal imprecision or missing data exist. The imprecision is usually present when data are manually collected, or when the data are based on subjective observations. The aim of this paper is to demonstrate how temporal constraints can be used as a formalism in which temporal abstraction of concepts can be performed. To this end, in the first place, we introduce the fuzzy temporal constraint network as the formalism for representing temporal information. Then, we present an algorithm for obtaining a state representation from a sequence of observations. We show the complexity and applicability of the approach.