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Titlebook: Advances in Intelligent Data Analysis XIII; 13th International S Hendrik Blockeel,Matthijs Leeuwen,Veronica Vinciot Conference proceedings

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https://doi.org/10.1007/978-3-642-60187-3iews as an extended feature vector, is essential in the malware domain because different families employ different obfuscation strategies which limits the information of different views. We demonstrate results on three malicious families and two benign families where the ground truth is known.
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Classification in the Information Ageristic search technique and estimate and evaluate a number of stopping criterion. The paper reports the results of extensive experiments conducted on our comprehensive time-series dataset and provides evidence to support our proposed techniques.
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Christopher D. Hacon,Sándor Kovácsn 30 datasets and equal error rates in 4. Secondly, we compared . with . defined over the three measures on 33 datasets, and we observed that . is at least as good as the competitor method in 23 datasets, while achieving competitive speedups, showing its effectiveness and efficiency.
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The construction of the moduli spaceeuristic pruning procedure that optimizes the pattern quality further. Experiments show that in contrast to traditional beam search, this combined method is able to find higher quality patterns using short time budgets.
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Finite generation of the restricted algebrarecordings, and that factors that contribute inadequately to class separation become more predictive when we exploit historical recordings of them. We report on our results for factors associated with a multifactorial disorder, hepatic steatosis, but our findings apply to further multifactorial outcomes.
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