令人不愉快
发表于 2025-3-21 19:32:10
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Externalize
发表于 2025-3-21 22:41:15
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闪光你我
发表于 2025-3-22 03:32:18
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与野兽博斗者
发表于 2025-3-22 04:45:30
Crowd-Based Mining of Reusable Process Model Patterns scale to humans. We demonstrate that if instead the data to mine from are . (not logs), datasets are . (in the order of dozens rather than thousands or millions), and the knowledge to be discovered is . (reusable model patterns), humans outperform computers. We design, implement, run, and test a .
FACT
发表于 2025-3-22 10:44:07
A Recommender System for Process Discovery dominant algorithm in any of these two disciplines, and then it is often difficult to apply them successfully. Most of these algorithms need a close-to expert knowledge in order to be applied satisfactorily. In this paper, we present a recommender system that uses portfolio-based algorithm selectio
搜集
发表于 2025-3-22 15:33:35
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BOLUS
发表于 2025-3-22 17:43:51
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神刊
发表于 2025-3-22 21:19:41
A Genetic Algorithm for Process Discovery Guided by Completeness, Precision and Simplicitys, none of the current proposals obtains a good integration between the three objectives and, therefore, the mined models have differences with the real models. In this paper we present a genetic algorithm (ProDiGen) with a hierarchical fitness function that takes into account completeness, precisio
一起
发表于 2025-3-23 02:05:03
Constructs Competition Miner: Process Control-Flow Discovery of BP-Domain Constructse actual activity workflow is discovered. In most cases their results conform to general purpose representations like Petri nets or Causal nets which are preferred by academic scholars but difficult to comprehend for business analysts. In this paper we propose an algorithm that follows a top-down ap
pus840
发表于 2025-3-23 08:54:11
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