About the Journal

The International Journal of Applied Data Science

The International Journal of Applied Data Science is a peer-reviewed, open-access scholarly journal dedicated to the dissemination of high-quality research in the field of applied data science. The journal focuses on practical applications of data science techniques across various industries and scientific disciplines, including artificial intelligence, machine learning, business analytics, engineering, healthcare, and social sciences.

Published quarterly by Tensor Text Publications, We accepts original research manuscripts in English and adheres to rigorous peer review and ethical publishing practices.
The journal is accessible through its official website at https://tensortextpublishers.com/journals/index.php,

Scope of the Journal

welcomes contributions in the following (but not limited to) areas:

  • Applied Machine Learning and Deep Learning

  • Predictive Analytics and Forecasting Models

  • Big Data Applications in Business, Finance, and Healthcare

  • Natural Language Processing and Text Mining

  • Data-Driven Decision Making

  • Data Visualization and Interpretation

  • Data Science in Smart Cities and IoT

  • Statistical Learning and Data Mining Techniques

  • Recommender Systems and Personalization

  • Ethics, Privacy, and Security in Data Science

  • Cloud Computing and Scalable Data Infrastructure

  • Real-Time Analytics and Streaming Data Systems

  • Interdisciplinary Data Science Applications

Key Features

  • Quarterly Publication Cycle

  • Double-Blind Peer Review Process

  • Fully Open Access

  • Crossref DOI Assignment

  • Global Editorial and Reviewer Network

  • Ethics Compliance (COPE Standards)

Vision

The vision is to bridge the gap between data science theory and real-world application. The journal aims to empower researchers, professionals, and organizations with insights and tools that support data-driven innovation, problem-solving, and sustainable development across domains.