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Titlebook: Industrialization in Ethiopia: Awakening - Crisis - Outlooks; The Example of the T Reimer Gronemeyer,Michaela Fink Book 2023 The Editor(s)

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樓主: Melanin
41#
發(fā)表于 2025-3-28 18:02:05 | 只看該作者
Michaela Fink,Reimer Gronemeyer making materialization and the tim- ing of transformations an optimization decision that is transparent to applications. In this paper, we define these two important goals, and propose leveraging . to create a framework that supports both data- and schema-level integration tasks.
42#
發(fā)表于 2025-3-28 21:59:14 | 只看該作者
43#
發(fā)表于 2025-3-28 23:32:45 | 只看該作者
splitting and adjusting. Our experiments show that the HTPR-tree outperforms the TPR-tree for anticipated future queries. In addition, the idea of the proposed method is able to apply to not only the TPR-tree but also variants of the TPR-tree. The proposed method is applicable to vehicle-traffic net
44#
發(fā)表于 2025-3-29 03:22:02 | 只看該作者
Michaela Finksplitting and adjusting. Our experiments show that the HTPR-tree outperforms the TPR-tree for anticipated future queries. In addition, the idea of the proposed method is able to apply to not only the TPR-tree but also variants of the TPR-tree. The proposed method is applicable to vehicle-traffic net
45#
發(fā)表于 2025-3-29 11:09:36 | 只看該作者
Tesfaye Semela,Setisemhal Getachew,Daniel Semelasplitting and adjusting. Our experiments show that the HTPR-tree outperforms the TPR-tree for anticipated future queries. In addition, the idea of the proposed method is able to apply to not only the TPR-tree but also variants of the TPR-tree. The proposed method is applicable to vehicle-traffic net
46#
發(fā)表于 2025-3-29 14:30:22 | 只看該作者
47#
發(fā)表于 2025-3-29 15:54:36 | 只看該作者
48#
發(fā)表于 2025-3-29 20:19:04 | 只看該作者
49#
發(fā)表于 2025-3-30 02:15:36 | 只看該作者
50#
發(fā)表于 2025-3-30 04:43:53 | 只看該作者
Michaela Fink,Reimer Gronemeyere association word mining method with weighted word that reflects not only the preference rating of products but also information on them. The data expressed by the mined features are not expressed as a string of data, but as an association word vector. Then, collaborative consumer’s profile is gene
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