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Journal Photo for ISCSITR - International Journal of Data Analytics
Peer reviewed only Open Access

ISCSITR - International Journal of Data Analytics (ISCSITR-IJDA)

Publisher : International Society for Computer Science and Information Technology Research (ISCSITR)
Data Analytics Data Mining Knowledge Discovery
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e-ISSN 5421-3682
Issue Frequency Half-Yearly
Est. Year 2020
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iscsitr.com

Journal Descriptions

ISCSITR - International Journal of Data Analytics (ISCSITR-IJDA) is a prestigious open-access, peer-reviewed journal overseen by the International Society for Computer Science and Information Technology Research (ISCSITR). It serves as a specialized forum for the dissemination of significant research and developments in the field of data analytics. This journal focuses on a broad spectrum of data analytics topics, including advanced analytical techniques, big data analytics, statistical analysis, predictive analytics, descriptive modeling, data warehousing, data cleansing, and real-time data processing. It also explores the application of these techniques across diverse sectors such as marketing, finance, healthcare, education, and public services to provide insights into trends, performance measures, and operational efficiencies. ISCSITR-IJDA aims to contribute to the field by publishing high-quality research articles, case studies, and review papers that offer new insights, methodologies, and practical solutions for handling complex data and extracting meaningful information. With its open-access policy, the journal ensures that all published content is accessible to a global audience, fostering wider dissemination, engagement, and collaboration within the data analytics community. This journal is an essential resource for academics, industry professionals, and anyone interested in the cutting-edge developments in data analytics.

ISCSITR - International Journal of Data Analytics (ISCSITR-IJDA) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Data Analytics, Data Mining, Knowledge Discovery, Big Data, Machine Learning, AI, Predictive and Prescriptive Analytics, Data Visualization , Online , Half-Yearly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 5421-3682, Established: 2020,
  • Provides Crossref DOI

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

Indexing

Publications of ISCSITR-IJDA

Spatiotemporal Data Analytics for Optimizing Public Transportation Networks in Urban Environments
Shashi Shekhar September, 2021
Urban transportation systems are increasingly challenged by rapid urbanization, congestion, and environmental concerns. Leveraging spatiotemporal data analytics has emerged as a promising ap...
A Longitudinal Study of Student Performance Prediction Models Using Educational Data Mining and Behavioral Analytics
Jason Kim July, 2022
This study explores the development and performance of student performance prediction models through a longitudinal lens, utilizing educational data mining (EDM) and behavioral analytics. As...
Analyzing the Role of Causal Inference in Observational Data for Policy Impact Assessment in Public Health Analytics
Stefan Konigorski February, 2023
The increasing complexity of public health challenges necessitates robust evaluation frameworks for policy interventions. Causal inference, particularly in the context of observational data,...
Assessing the Role of Explainable AI in Improving Trust and Transparency in Data-Driven Decision Systems
Wojciech Samek September, 2023
The increasing reliance on data-driven decision systems across critical sectors—such as healthcare, finance, and criminal justice—has elevated concerns regarding trust and transparency. ...
Optimizing Data Infrastructure and Analytics Engineering for Real-Time Predictive Models in Dynamic Environments Using Deep Learning Architectures and...
Leonardo S. February, 2025
The rapid evolution of big data and machine learning has necessitated the optimization of data infrastructure and analytics engineering to support real-time predictive models in dynamic envi...
Uncovering Hidden Patterns in Social Media Data Using Advanced Network Analytics and Sentiment Analysis
Aisha Rahman March, 2025
In the digital era, social media platforms have emerged as critical spaces for public discourse, marketing, and socio-political mobilization. This study explores the intersection of network ...