International Journal for Applied Information Management

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International journal for applied information management. Features cutting-edge research, innovative studies, best practices, and global trends in the field.

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Articles in this Journal

Classifying Vehicle Categories Based on Technical Specifications Using Random Forest and SMOTE for Data Augmentation

This study investigates the application of machine learning for classifying vehicles based on their technical specifications using the Random Forest algorithm. The objective was to create a robust classification model capable of categorizing vehicles...

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Exploring Thematic Travel Preferences of Global Cities through Agglomerative Hierarchical Clustering for Enhanced Travel Recommendations

This study explores the application of Agglomerative Hierarchical Clustering (AHC) to categorize global cities based on thematic travel preferences, aiming to enhance personalized travel recommendations. The dataset used contains travel information f...