Artificial Intelligence - Special issue on knowledge representation
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
ACM Transactions on Information Systems (TOIS)
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Probabilistic Reasoning about Uncertain Relations between Temporal Points
TIME '01 Proceedings of the Eighth International Symposium on Temporal Representation and Reasoning (TIME'01)
A Possibility Theory-based Approach for Handling of Uncertain Relations Between Temporal Points
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
Extracting Uncertain Temporal Relations from Mined Frequent Sequences
TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
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In this paper we present Propos, a novel dynamic Web tool for managing probabilistic and possibilistic temporal constraint networks. These networks are a special sort of temporal constraint satisfaction problems, useful for representing and reasoning with uncertain temporal relations between temporal points. They can be applied as an effective formalism in a very different kind of domains. Proposhas been developed using dynamic Web technology for mainly, make easier the complex process of interpreting, evaluating, and finally, extracting useful knowledge from the network. It can be viewed as a novel knowledge acquisition tool and, for practical purposes, it will be used for work with temporal patterns extracted from temporal data mining processes.