The International Journal of Data Science and Applications (JOINDATA) stands as a distinguished, peer-reviewed publication dedicated to advancing the field of data science and its practical applications. As an affiliate of Sakarya University of Applied Sciences, JOINDATA provides a robust platform for researchers and practitioners to delve into the latest developments in data science across diverse domains. In the dynamic digital landscape of today, JOINDATA serves as a beacon, illuminating the path of innovation and knowledge dissemination.
Published semi-annually in June and December, JOINDATA maintains a consistent schedule, offering researchers a regular opportunity to explore the forefront of advancements through the submission and publication of research papers. This dynamic frequency not only facilitates the sharing of insights but also empowers contributors to uncover and contribute to the ongoing progress in the field of data science and its practical applications.
We actively seek and publish high-quality research papers from experts around the globe, with a specific focus on the integration of intelligent systems and data science across various academic fields. Our overarching mission is to provide a reliable and comprehensive platform for scholars and researchers to explore cutting-edge advancements, thereby contributing to the overall advancement of knowledge.
JOINDATA's biannual publication aligns with our mission to create a dependable platform for academics and scholars worldwide to delve into cutting-edge advancements through research papers. Additionally, we emphasize that our journal is published in English, and issues are released in June and December. Our continued dedication is to contribute significantly to the integration of intelligent systems and applied data science across diverse academic disciplines.
Journal History
The journal was published between 2018-2023 with the title of "Data Science and Applications" (e-ISSN: 2717-6649). It will be published under its new title "International Journal of Data Science and Applications" after 2024.
2024 - Volume: 7 Issue: 1
Research Article
Combining Chaotic Transformations and Machine Learning Algorithms: Evaluating Explainable Artificial Intelligence Model PerformanceResearch Article
Simultaneous Size, Shape and Topology Optimization of Truss Structures using the PSOSCALF AlgorithmResearch Article
Using the Fleming-Harrington Estimator Method to Process Censored Data in Machine Learning: A Methodological StudyResearch Article
Neural Network-Based Approaches to High-Energy PhysicsResearch Article
Feature Selection Using Quantum Feature Maps: Performance Analysis of Classical and Quantum Models on the Breast Cancer DatasetAI Research and Application Center, Sakarya University of Applied Sciences, Sakarya, Türkiye.