Abdelaziz Berrado
3 papers in the PaperMetrix corpus
Papers by this author
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Towards a new framework for clustering in a mixed data space: Case of gasoline service stations segmentation in Morocco
2015
Clustering is a widely used technique in data mining applications for discovering patterns in underlying data. Most traditional clustering algorithms are limited to handling datasets that contain either numeric or categorical attributes. However, data sets …
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A Random PRIM Based Algorithm for Interpretable Classification and Advanced Subgroup Discovery
2024 · Algorithms
Machine-learning algorithms have made significant strides, achieving high accuracy in many applications. However, traditional models often need large datasets, as they typically peel substantial portions of the data in each iteration, complicating the development of …
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Breast Cancer Classification Using an Adapted Bump-Hunting Algorithm
2025 · Algorithms
The Patient Rule Induction Method is a data mining technique used for identifying patterns in datasets, particularly focusing on discovering regions of the chosen input space where the response variable is unusually high or low. …