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

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Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algor978-94-017-4762-2

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A Novel Sparsity Based Classification Framework to Exploit Clusters in Data,978-3-031-41692-7

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Advances in Data Mining. Applications and Theoretical Aspects16th Industrial Conf

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J. Adámek,J. Rosický,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.

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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.

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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