Temporal reasoning based on semi-intervals
Artificial Intelligence
A survey on temporal reasoning in artificial intelligence
AI Communications
A framework for the management of past experiences with time-extended situations
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Maintaining knowledge about temporal intervals
Communications of the ACM
Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Similarity Evaluation Between Observed Behaviours for the Prediction of Processes
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Explanation-Driven Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Case-Based Reasoning Technology, From Foundations to Applications
Modelling Medical Concepts as Time-Objects
AIME '95 Proceedings of the 5th Conference on Artificial Intelligence in Medicine in Europe: Artificial Intelligence Medicine
Improved efficiency of oil well drilling through case based reasoning
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Intelligent information processing II
International Journal of Knowledge-based and Intelligent Engineering Systems
An Active Approach to Automatic Case Generation
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Efficiently Implementing Episodic Memory
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A framework for historical case-based reasoning
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Context-awareness in user modelling: requirements analysis for a case-based reasoning application
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
International Journal of Hybrid Intelligent Systems
Case based representation and retrieval with time dependent features
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
An approach for temporal case-based reasoning: episode-based reasoning
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Discovering knowledge about key sequences for indexing time series cases in medical applications
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Temporal data mining for smart homes
Designing Smart Homes
Intelligent data interpretation and case base exploration through temporal abstractions
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Using activity theory to model context awareness
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
Contextual trace-based video recommendations
Proceedings of the 21st international conference companion on World Wide Web
Flexible and efficient retrieval of haemodialysis time series
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Case adaptation with qualitative algebras
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Cases are descriptions of situations limited in time and space. The research reported here introduces a method for representation and reasoning with time-dependent situations, or temporal cases, within a knowledge-intensive CBR framework. Most current CBR methods deal with snapshot cases, descriptions of a world state at a single time stamp. In many timedependent situations, value sets at particular time points are less important than the value changes over some interval of time. Our focus is on prediction problems for avoiding faulty situations. Based on a well-established theory of temporal intervals, we have developed a method for representing temporal cases inside the knowledge-intensive CBR system Creek. The paper presents the theoretical foundation of the method, the representation formalism and basic reasoning algorithms, and an example applied to the prediction of unwanted events in oil well drilling.