Mission

The International Journal of Data Science and Applications (JOINDATA) aims to be a premier, peer-reviewed platform dedicated to the advancement of data science and its interdisciplinary applications. By fostering innovation and collaboration, JOINDATA provides a rigorous academic space for researchers, engineers, and practitioners to publish high-quality studies on intelligent systems, AI, machine learning, big data analytics, IoT, and computational methodologies. The journal seeks to bridge theoretical research with real-world applications, promoting the integration of data-driven solutions across diverse scientific and industrial domains.

Aims

Specifically, JOINDATA aims to:

• Advance Research in Data Science – Serve as a trusted platform for researchers to publish high-quality, peer-reviewed studies, driving progress in data science, artificial intelligence, machine learning, and intelligent systems.
• Foster Global Collaboration – Facilitate knowledge exchange among experts by encouraging interdisciplinary contributions that integrate data science across various academic and industrial fields.
• Bridge Theory and Practice – Promote innovation by publishing research that translates theoretical advancements into practical applications, supporting technological and scientific development.
• Ensure Accessibility and Impact – Provide a widely accessible and reputable forum for scholars, ensuring global visibility and dissemination of cutting-edge advancements in data science and its applications.

The International Journal of Data Science and Applications (JOINDATA) covers a broad spectrum of topics within intelligent systems, artificial intelligence (AI), data science, computer science, and knowledge management. We welcome high-quality research contributions that push the boundaries of innovation in these fields, including but not limited to:

• Intelligent Systems and Artificial Intelligence – Advances in AI-driven intelligent systems and autonomous decision-making models.
• Data Science and Machine Learning – Cutting-edge research in data-driven methodologies, predictive analytics, and deep learning.
• Computer Science and Engineering – Theoretical and applied contributions in computing, algorithms, and emerging technologies.
• Knowledge Management and Knowledge Engineering – Innovations in data organization, retrieval, and automated knowledge systems.
• Natural Language Processing and Speech Recognition – Developments in linguistic computing, AI-driven text analysis, and speech processing.
• Human-Computer Interaction and User Experience – Research on user-centric computing, interface design, and accessibility.
• Big Data Analytics and Visualization – Novel techniques for processing, analyzing, and presenting large-scale data.
• Blockchain Technology and its Applications – Studies on secure, decentralized technologies and their real-world applications.
• Computer Vision, Image Processing, and Multimedia Technologies – Advances in image recognition, digital media processing, and visual computing.
• Internet of Things (IoT) – Research on interconnected smart devices, edge computing, and IoT applications.
• Cloud Computing and Distributed Systems – Innovations in scalable computing, virtualization, and parallel processing.

JOINDATA aims to bridge theoretical research with practical implementations, providing a high-impact platform for scholars and industry experts to contribute to the evolving digital landscape.

Period Months

June December