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Titlebook: Current Topics in Artificial Intelligence; 10th Conference of t Ricardo Conejo,Maite Urretavizcaya,José-Luis Pérez Conference proceedings 2

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11#
發(fā)表于 2025-3-23 09:56:48 | 只看該作者
12#
發(fā)表于 2025-3-23 15:51:39 | 只看該作者
1989 in Central Europe: A Counterrevolutionn-a-context between knowledge elements (e.g., concepts and attributes). Another objective is achieving language independency. Here, the knowledge acquired from texts is represented by means of ontologies.
13#
發(fā)表于 2025-3-23 19:56:00 | 只看該作者
https://doi.org/10.1007/978-3-031-63901-2efore, the integration of a DBMS with a temporal reasoner is required if temporal reasoning capabilities on patients’ evolution data are to be provided. This paper presents the integration of a DBMS with a generic fuzzy temporal reasoning (FuzzyTIME).
14#
發(fā)表于 2025-3-24 00:33:17 | 只看該作者
15#
發(fā)表于 2025-3-24 03:22:39 | 只看該作者
Counterrevolution. Theoretical Foundationswhich removes redundancy of a given set of Functional Dependencies and allows a more efficient further treatment by other well known indirect algorithms. Besides that, we carry out an empirical study to prove the practical benefits of our approach.
16#
發(fā)表于 2025-3-24 09:10:40 | 只看該作者
17#
發(fā)表于 2025-3-24 12:42:09 | 只看該作者
A Model for Fuzzy Temporal Reasoning on a Databaseefore, the integration of a DBMS with a temporal reasoner is required if temporal reasoning capabilities on patients’ evolution data are to be provided. This paper presents the integration of a DBMS with a generic fuzzy temporal reasoning (FuzzyTIME).
18#
發(fā)表于 2025-3-24 15:37:33 | 只看該作者
19#
發(fā)表于 2025-3-24 19:37:19 | 只看該作者
An Efficient Preprocessing Transformation for Functional Dependencies Sets Based on the Substitutionwhich removes redundancy of a given set of Functional Dependencies and allows a more efficient further treatment by other well known indirect algorithms. Besides that, we carry out an empirical study to prove the practical benefits of our approach.
20#
發(fā)表于 2025-3-24 23:38:20 | 只看該作者
An Evolutionary Algorithm for Solving Word Equation Systemspresent some empirical results derived from our algorithm which indicate that our approach to this problem becomes a promising strategy. Our experimental results also certify that our local optimization technique clearly outperforms a simple genetic approach.
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