头盔
发表于 2025-3-27 00:38:47
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Volatile-Oils
发表于 2025-3-27 05:07:49
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广口瓶
发表于 2025-3-27 09:15:53
e fundamental matching constraints present in the network in a declarative formalism, Answer Set Programming that in turn enables to reason about necessary user input. We demonstrate empirically that our reasoning and heuristic techniques can indeed substantially reduce the necessary human involveme
peak-flow
发表于 2025-3-27 10:26:29
Walter Bruck,Wolfgang Sutterlütietects the best possible time-granularity to be used, whilst taking user preferences into account. Our evaluation, using both real and synthetic data, confirms the feasibility of our approach and highlights the importance of using accurate granularity in time step selection.
减震
发表于 2025-3-27 16:16:39
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inspiration
发表于 2025-3-27 19:18:42
Oliver Schippersross populations of organisms. This paper discusses domain specific issues in modeling biological and genomic data and their importance in information system implementations. In particular, it focuses on the use of the mitochondrial genome as a model genomic system for the development of human genom
GOUGE
发表于 2025-3-28 01:37:48
Gerhard Hochreiter,Heinz Schöppl naive ontological support or even without any. We address this problem of lack of consensual conceptualization by proposing a reference conceptual model (O4OA) that considers ontological-related and domain-related perspectives, knowledge, and commitment necessary to facilitate the process of Ontolo
大看台
发表于 2025-3-28 04:58:58
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设施
发表于 2025-3-28 06:47:06
Dieter Papke,Karena Purperof our cardinality constraints in the form of an Armstrong instance, whenever possible. Even though the problem of finding an Armstrong instance is precisely exponential, our algorithm computes an Armstrong instance with conservative use of time and space. Data engineers and domain experts can joint
大漩涡
发表于 2025-3-28 11:27:46
Magdalena Seeberg,Barbara Reifnd a process model describing the underlying business process, our approach returns an event log in which every event is mapped to a case identifier. The approach minimises the misalignment between the generated log and the input process model, and the variance between activity durations across case