Abstract
We have introduced a general model for representing and reasoning about STCSP (Sequential Temporal Constraint Satisfaction Problems) to deal with patterns in data mining and applications which generate great quantity of data used to understand or to explain some given situations (diagnostic of dynamic systems, alarms monitoring, event prediction, etc.). One important issue of sequence reasoning concerns the recognition problem. This paper presents the STCSP model with qualitative point primitives using frequency evaluation function. It gives the problem formalization; usual problems concerned with this kind of approach and it proposes some algorithms to deal with sequences.
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Osmani, A. (2003). Qualitative Point Sequential Patterns. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_67
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DOI: https://doi.org/10.1007/978-3-540-45224-9_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
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