logo True scholar network
Back to Top
Visit Website

ISCSITR - International Journal of Data Science (ISCSITR-IJDS)

Publisher :

ISCSITR

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Data Science
e-ISSN :

3067-7408

Issue Frequency :

Half-Yearly

Est. Year :

2020

Mobile :

1234567809

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

editor@iscsitr.com, iscsitr@gmail.com

Journal Descriptions

ISCSITR - International Journal of Data Science (ISCSITR-IJDS) is a leading open-access, peer-reviewed journal sponsored by the International Society for Computer Science and Information Technology Research (ISCSITR). This journal is dedicated to the field of data science, offering a comprehensive forum for researchers, data scientists, and industry professionals to present their latest research findings, innovative methodologies, and technological advancements. The ISCSITR-IJDS covers a wide array of topics within data science, including but not limited to big data analytics, statistical methods, data mining, machine learning, predictive modeling, data visualization, data infrastructure, data privacy and security, and the application of data science techniques in various industries like healthcare, business, finance, and telecommunications. The journal aims to foster a deeper understanding of the vast potentials and challenges in the field of data science, promoting the development of more efficient, effective, and innovative data-driven methodologies and technologies. By maintaining an open-access model, the ISCSITR-IJDS ensures that all content is freely available, facilitating greater dissemination of information and collaboration among data science professionals worldwide. This makes it an invaluable resource for anyone involved in or interested in the latest developments in the field of data science.


ISCSITR - International Journal of Data Science (ISCSITR-IJDS) is :

International, Peer-Reviewed, Open Access, Refereed, Data Science , Online Half-Yearly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 3067-7408, Established in - 2020, Impact Factor

Provide Crossref DOI

Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Scopus Profile
Crossref
Scopus Profile
DOI Foundation

Publications of ISCSITR-IJDS

  • dott image June, 2023

Cross-Domain Comparative Analysis of Decision-Making Algorithms in Autonomous and Semi-Autonomous System Architectures

This study presents a comparative analysis of decision-making algorithms employed across autonomous and semi-autonomous system architectures within the fields of transportation, robotics, an...

  • dott image June, 2024

AI-Powered Feature Engineering in Data Science Pipelines Using Automated Feature Selection and Embedding Techniques

Feature engineering is a crucial component in data science pipelines, enhancing the performance of machine learning models by transforming raw data into meaningful representations. Tradition...

  • dott image March, 2025

Dynamic Knowledge Distillation Strategies for Continual Learning in Lifelong Autonomous Systems Without Catastrophic Forgetting

Lifelong learning in autonomous systems demands the ability to acquire new knowledge over time without compromising previously learned information—a challenge known as catastrophic forgett...

  • dott image April, 2020

Multiscale Topological Characterization of Dynamic Interaction Patterns in Large-Scale Complex Networks Under Temporal Evolution Constraints

The structural evolution of large-scale complex networks over time reveals critical insights into their dynamic behavior and underlying interaction patterns. This study proposes a multiscale...

  • dott image April, 2022

Optimizing Enterprise Decision-making under Data Uncertainty Using Hybrid Predictive and Prescriptive Analytics Frameworks

Uncertainty in enterprise data—stemming from market volatility, sensor errors, or incomplete records—poses significant challenges to optimal decision-making. This paper proposes a hybrid...

  • dott image September, 2023

Multidimensional Data Modeling and Intelligent Query Processing for Enhanced Decision Support in Enterprise Data Warehouses

Enterprise Data Warehouses (EDWs) have become pivotal in organizational decision-making, demanding not only robust data integration but also intelligent, efficient query handling. This paper...

  • dott image April, 2021

Formal Verification of Multi-Party Privacy Protocols Using Probabilistic Automata and Symbolic Abstraction in High-Stakes Data Environments

Ensuring data privacy in high-stakes, multi-party computation (MPC) environments demands formally verified protocols that accommodate uncertainty and adversarial behavior. This paper present...

Establish Your Own Journal Without the Expense!

OJSCloud offers a complete, free setup to get you publishing.

Start Your Free Journal!
free profile