...Fung Yuen Chin; Kong Hoong Lem; Khye Mun Wong Purpose The amount of features in handwritten digit data is often very large due to the different aspects in personal handwriting, leading to high-dimensional data. Therefore, the employment of a feature selection algorithm becomes crucial...

... by reaching 93.59% accuracy which makes it competitive to the state-of-the-art systems. Originality/value The construction of a custom BOW. Optimizing features based on existing and custom feature selection and clustering approaches. Ibtissam Touahri can be contacted at: ibtissamtouahri555@gmail.com...

...://creativecommons.org/licences/by/4.0/legalcode Neural network Machine learning classifiers Feature selection Spam email UCI There are many tools for communication on the Internet. One tool that is used to convey your message to others more formally is called email. Spam is a very complicated problem...

.../approach In this study, the authors have presented machine learning models with feature selection, which can detect diabetes disease at its early stage. Also, the models presented are not costly and available to everyone, including those in the remote areas. Findings The study result shows...

...Hongfang Zhou; Xiqian Wang; Yao Zhang Feature selection is an essential step in data mining. The core of it is to analyze and quantize the relevancy and redundancy between the features and the classes. In CFR feature selection method, they rarely consider which feature to choose if two or more...