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Titlebook: Advances in Computational Collective Intelligence; 16th International C Ngoc-Than Nguyen,Bogdan Franczyk,Adrianna Kozierki Conference proce

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41#
發(fā)表于 2025-3-28 17:36:12 | 只看該作者
42#
發(fā)表于 2025-3-28 19:01:06 | 只看該作者
Rough Set Decision Rules for?Usage-Based Churn Modeling in?Mobile Telecommunicationsmers compared to retaining existing ones. To effectively guide anti-churn initiatives, it becomes crucial to point profitable clients with the highest likelihood of churning. However, the data utilized for identifying potential churners often carries inherent imprecision. In this study, we use a rou
43#
發(fā)表于 2025-3-28 23:08:49 | 只看該作者
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發(fā)表于 2025-3-29 05:58:26 | 只看該作者
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發(fā)表于 2025-3-29 08:35:27 | 只看該作者
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發(fā)表于 2025-3-29 12:40:20 | 只看該作者
47#
發(fā)表于 2025-3-29 19:35:05 | 只看該作者
Big Textual Data Analytics Using Transformer-Based Deep Learning for?Decision MakingBERT and its branches, which have the potential to deal with big data analysis frameworks. This represents a qualitative leap in understanding large-sized textual data of the opinions of Web users in order to classify it into several poles, and it is an important motivation for valuing it and benefi
48#
發(fā)表于 2025-3-29 23:16:38 | 只看該作者
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發(fā)表于 2025-3-29 23:53:30 | 只看該作者
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發(fā)表于 2025-3-30 05:23:14 | 只看該作者
Three-Stage Extraction of?Spatial Relationships Using Markersn three datasets: English (CLEF2017 mSpRL, SpaceEval) and Polish (PST2.0). We propose a novel procedure for joint relation elements discovery and classification. It significantly reduces the number of possible triplets checked for representing relation instances. This results in significant improvem
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