The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...

Cipher Mining Inc. (CIFR) recently entered the AI data center race with major deals with hyperscaler customers. The bitcoin miner is part of a group of companies transitioning from running data ...

Abstract: The Spark framework has been widely used for the unsupervised learning of big data mining algorithms; however, it has problems. That is, the multiple data exchange iterations between master ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

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