2022/06/12 by Uğur Yiğit, Yiğit, Uğur · 1 citation
Computer Science · #Advanced Computational Techniques and Applications #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Information Theory (cs.IT) #Machine Learning (cs.LG) #Rough Sets and Fuzzy Logic
paper · pdf · doi:10.48550/arxiv.2206.05776
openalex publication_date 2022/06/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we generalize the rough topology and the core to numerical data by classifying objects in terms of the attribute values. A new approach to finding the core for numerical data is discussed. Then a measurement to find whether an attribute is in the core or not is given. This new method for finding the core is used for attribute reduction. It is tested and compared by using eight different machine-learning algorithms. Also, it is discussed how this material is used to rank the importance of attributes in data classification. Finally, the algorithms and codes to convert data to pertinent data and to find the core is also provided.