Infolitika Journal of Data Science

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Infolitika Journal of Data Science: Peer-reviewed research and articles on data analytics, machine learning, AI, and big data applications. Stay updated on insights.

Articles in this Journal

Inductive Biases in Feature Reduction for QSAR: SHAP vs. Autoencoders

Machine learning models in drug discovery often depend on high-dimensional molecular descriptors, many of which may be redundant or irrelevant. Reducing these descriptors is essential for improving model performance, interpretability, and computation...

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Optimizing Energy Consumption Prediction Across the IMT-GT Region Through PCA-Based Modeling

This study aims to improve the accuracy of energy consumption prediction in the Indonesia-Malaysia-Thailand Growth Triangle (IMT-GT) region by addressing multicollinearity among independent variables such as energy production (Mtoe), lignite coal pro...

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Similarity-Based Network in the Industrial Community of Joyo City

Data utilization is becoming increasingly widespread in a variety of fields around the world, and has become especially important in the industrial world. Data utilization techniques and approaches can contribute to the development of not only indivi...

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Developing a Regional Framework for Disaster Risk Reduction Based on Disaster-Related Data from Aceh, Indonesia

Aceh Province is highly vulnerable to various hazards, necessitating effective disaster risk reduction strategies. This study aims to develop an instrument to evaluate disaster risk reduction efforts in Aceh Province and to assess progress toward glo...

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