Applied Data Science and Analysis is a respected journal dedicated to real-world applications of data science. It provides a platform for experts to share innovative ideas and methodologies. Focused on bridging theory and practice, it showcases cutting-edge research and case studies in data analysis, machine learning, and more. Welcoming diverse contributions from fields like business, healthcare, and social sciences, the journal fosters collaboration among data professionals, aiming to advance the impact of data science in practical settings

Vol. 2026 (2026)

In Progress

Published: 2026-01-10

DOI: https://doi.org/10.58496/ADSA/2026/001
DOI: https://doi.org/10.58496/ADSA/2026/002
DOI: https://doi.org/10.58496/ADSA/2026/003

Data-Driven Modeling and Scientific Computation: Methods for Complex Systems and Big Data

Ioannis Adamopoulos, Aida Vafae Eslahi , Niki Syrou , Klodian Dhoska , Panagiotis Kyratsis , Katarzyna Łyp-Wrońska

54–72

DOI: https://doi.org/10.58496/ADSA/2026/004
DOI: https://doi.org/10.58496/ADSA/2026/005

A Big Data Analytics Framework for Decision-Making in Sports Performance Optimization

Bharti Gawali , Mohammed Basil Abdulkareem , Munther H. Abed

91-110

DOI: https://doi.org/10.58496/ADSA/2026/006
DOI: https://doi.org/10.58496/ADSA/2026/007
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