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Titlebook: Advances in Data Mining. Applications and Theoretical Aspects; 16th Industrial Conf Petra Perner Conference proceedings 2016 Springer Inter

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樓主: Enlightening
31#
發(fā)表于 2025-3-26 23:12:49 | 只看該作者
32#
發(fā)表于 2025-3-27 01:57:14 | 只看該作者
33#
發(fā)表于 2025-3-27 05:43:22 | 只看該作者
34#
發(fā)表于 2025-3-27 12:16:28 | 只看該作者
Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algor978-94-017-4762-2
35#
發(fā)表于 2025-3-27 16:42:11 | 只看該作者
A Novel Sparsity Based Classification Framework to Exploit Clusters in Data,978-3-031-41692-7
36#
發(fā)表于 2025-3-27 18:11:08 | 只看該作者
Advances in Data Mining. Applications and Theoretical Aspects16th Industrial Conf
37#
發(fā)表于 2025-3-27 22:00:36 | 只看該作者
J. Adámek,J. Rosicky,V. Trnkováwo metrics namely correlation coefficient and RMSE. Results show that the model tree has a correlation coefficient of 0.9397 which is higher than the other two methods. It also has the least RMSE of 0.5339 among these models.
38#
發(fā)表于 2025-3-28 04:04:43 | 只看該作者
39#
發(fā)表于 2025-3-28 09:02:30 | 只看該作者
https://doi.org/10.1007/BFb0092866amed PHM (Periodic High-utility itemset Miner) is proposed to efficiently enumerate all periodic high-utility itemsets. Experimental results show that the PHM algorithm is efficient, and can filter a huge number of non periodic patterns to reveal only the desired periodic high-utility itemsets.
40#
發(fā)表于 2025-3-28 11:16:16 | 只看該作者
Hereditary Regular Closure Operatorsnderstand differences in clusters and between male and female divers..As the result of these analyses, divers were separated into 3 clusters and distinguishing variables of these clusters were revealed. As TwoStep and Gower Distances are suitable for categorical variables, age and dive activity year
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