Titlebook: Database and Expert Systems Applications; 15th International C Fernando Galindo,Makoto Takizawa,Roland Traunmülle Conference proceedings 20

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https://doi.org/10.1007/3-7643-7401-2 This paper describes such an algorithm that optimizes the temporal constraints associated with (composite) events and improves the efficiency of the databases by creating and destroying triggers dynamically such that the semantics of the event is unchanged. The efficiency of the technique is validated by our experimental results.

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Studies in Computational Intelligencelysis operators. Data are then processed by the program mpropre (Managing PaRtially Ordered PREferences) that provides in output one or several optimal parcels. Results are finally validated by an expert and using ortho-images of the geographic area of interest.

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Friedrich Keune,Klaus Oswatitsching machinery that continually scans market data and general financial news feeds. The middle-ware in this environment is based onpowerful multiagent technology that manages all processes including the information delivery and data mining. The investigation ofnetwork evolution leads to the development of “network mining” techniques.

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An Ontology-Driven Process Modeling Frameworkanalyzing process models, such as consistency checking, interactive ontology navigation, automatic (re)discovering of process models. A software architecture fully supporting our framework is also presented and discussed.

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Ensuring Task Dependencies During Workflow Recoveryil to address how to ensure task dependencies during workflow recovery. In this paper, we consider the workflow recovery problem and propose a recovery scheme that ensures the satisfaction of dependencies in a workflow and restores consistency as well.

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