Hiding Decision Tree Rules in a Diabetes Data Set using a Java-based prototype of the LDH Algorithm

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Using Machine Learning models to Predict Antimicrobial Resistance and assist Urologists in decision-making regarding empirical treatment

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Use and applicability of machine learning algorithms inpredicting surgical outcome for patients with benign prostatic enlargement. Which model to use?

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Local Distortion Hiding (LDH) Algorithm: a java–based prototype (SETN 2020)

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LDH Algorithm in Medical Data: A Case Study using CART(ICIMTH 2020)

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Using Minimum Local Distortion to Hide Decision Tree Rules (Entropy)

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Hiding Decision Tree Rules in Medical Data: A Case Study (ICIMTH 2019)

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Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set (IISA 2019)

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Local Distortion Hiding in a Student Performance Data Set (Springer)

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Using Minimum Local Distortion to Hide Decision Tree Rules

On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules