The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access and multidisciplinary online journal dedicated to research across Science, Engineering and Technology. Researchers looking for a big data analytics journal can explore its stated scope in Data Science, Artificial Intelligence, Machine Learning and Computer Science.

IJSREAT was established by academicians, educationists, engineers and industry professionals to provide a platform for innovative ideas, original research contributions, technological innovations and fundamental advancements. Its open-access model is intended to support dissemination of research and practical applications across emerging scientific and engineering disciplines.

Big Data Analytics Journal – IJSREAT

Big data analytics focuses on extracting meaningful information from large and complex datasets. The IJSREAT scope specifically includes Big Data frameworks such as Hadoop and Spark, data visualization and storytelling, predictive analytics in business and healthcare, and ethics in data collection and usage. These areas make big data analytics relevant to researchers working across Data Science and modern computer science.

📊 Big Data Analytics Research Scope

The journal welcomes original research papers, review articles and technical notes contributing to Science, Engineering and Technology. Within Data Science & Analytics, the supplied scope includes the following big data research areas:

• Big Data Frameworks: Hadoop and Spark.
• Data Visualization: Visualization and storytelling techniques.
• Predictive Analytics: Applications in business and healthcare.
• Data Ethics: Ethical issues in data collection and usage.

These areas can support research involving large-scale data processing, analytical methods, visualization, prediction and responsible data practices.

🤖 Artificial Intelligence and Big Data Analytics

Big data analytics can intersect with Artificial Intelligence and Machine Learning when large datasets are used to develop, test or analyze intelligent systems. IJSREAT includes both AI and ML within its stated scope.

• Explainable AI (XAI) techniques
• Natural Language Processing models
• AI for autonomous vehicles and robotics
• AI applications in medicine and diagnostics
• Supervised and unsupervised learning
• Reinforcement learning in gaming and robotics
• Federated and Edge Machine Learning
• Machine learning for anomaly detection and forecasting

💻 Big Data and Computer Science Research

IJSREAT includes Computer Science and Information Technology as a major area of its multidisciplinary scope. Researchers can connect big data analytics with several related computer science disciplines.

• Cybersecurity: AI-based malware detection, blockchain security, NIDS and cryptography.
• Cloud Computing: Serverless architecture, cloud migration, hybrid cloud and virtualization.
• Internet of Things: Smart cities, connected devices, IoT security, sensor networks and Edge/Fog computing.
• Software Engineering: Agile, DevOps, quality assurance, testing and requirements engineering.
• Blockchain: Smart contracts, decentralized applications, financial services, voting, scalability and security.
• Computer Networks: 5G/6G, SDN, network security and Internet performance optimization.
• Image Processing and Computer Vision: Segmentation, classification, object detection, biometrics and medical image analysis.
• Human-Computer Interaction: Usability, gesture and speech interfaces, eye tracking, AR/VR and accessibility.
• Robotics and Embedded Systems: Autonomous navigation, RTOS, robot kinematics, control and embedded AI.
• Natural Language Processing: Sentiment analysis, summarization, translation and conversational systems.
• Quantum Computing: Quantum algorithms, quantum cryptography and hybrid quantum-classical architectures.

⚡ Fast Publication and Rapid Peer Review

The supplied IJSREAT information describes a streamlined publication workflow for submitted manuscripts. It states that the strict peer-review process delivers decisions within 3 days. The detailed workflow separately states an initial acknowledgment within 12 hours, expert review within 2 days and decision notification within 3 days.

These are the timelines stated in the supplied journal information; actual processing can depend on editorial assessment, reviewer availability and manuscript requirements. Fast publication should therefore be considered alongside peer-review and academic-quality requirements.

🚀 Big Data Analytics Journal Publication Process

1. Online Submission: Submit through the editorial management system 24/7.
2. Initial Response: The supplied information states acknowledgment within 12 hours.
3. Expert Review: Peer review is stated as being completed within 2 days.
4. Decision Notification: Acceptance or rejection is stated within 3 days.
5. Publication and Certificate: Instant PDF access and digital certificate are stated after publication.

💰 Low Cost Big Data Analytics Publication

IJSREAT describes its publication model as open access and states that a minimal fee is payable after manuscript acceptance. The supplied Article Processing Charges for Case Reports, Original Articles and Review Articles are as follows:

Authors interested in a low cost big data analytics journal should confirm the current APC, DOI conditions, applicable taxes and payment requirements before submission.

🌐 Google Scholar and Indexing Information

The supplied journal information lists Google Scholar among its indexing and abstracting services. It also lists Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters Research ID, Semantic Scholar, Dimensions and PlumX.

Authors should independently verify the current status of indexing and abstracting services before relying on any listing for institutional, academic, promotion, funding or other formal requirements.

🎓 UGC CARE and Journal Selection

Researchers searching for a big data analytics journal may also use terms such as UGC CARE, Google Scholar, low cost, fast publication, rapid publication and computer science while evaluating publication options.

These criteria should be checked separately. In particular, a listing in an indexing or search service does not by itself establish UGC CARE recognition. Authors should verify current recognition requirements with the relevant academic authority and their institution before submission.

📋 Advanced Editorial Management System

The supplied information describes an editorial management system designed to provide authors with submission tracking and access to publication documents.

• Author Dashboard: Personalized submission history and status updates.
• Real-Time Tracking: Monitor manuscript progress through every stage.
• Automated Documents: Instant generation of acceptance letters and copyright forms.
• Easy Downloads: One-click access to certificates and published papers.

🔬 Multidisciplinary Big Data Research

The journal's wider scope includes Electrical, Electronics and Communication Engineering; Mechanical and Civil Engineering; Chemical and Environmental Engineering; Biomedical and Biotechnology Engineering; Artificial Intelligence; Machine Learning; Data Science; Robotics; Automation; IoT; Renewable Energy; Materials Science; Nanotechnology; Applied Physics; Chemistry and Mathematics.

This multidisciplinary structure can accommodate research connecting big data analytics with healthcare, cybersecurity, cloud computing, IoT, robotics, computer vision and other areas of computer science and engineering.

📝 Preparing a Big Data Analytics Manuscript

A big data analytics manuscript can clearly explain its research problem, objectives, data sources, methodology, analytical approach, results, discussion and conclusions. Authors should ensure that the manuscript fits the journal's stated subject scope and follows the applicable submission requirements.

Research involving Hadoop, Spark, predictive analytics, data visualization, healthcare analytics, business analytics or ethical data practices can be aligned with the Data Science & Analytics topics explicitly listed in the supplied journal scope.

📚 Big Data Analytics Journal – IJSREAT

IJSREAT presents itself as an international, peer-reviewed, open-access and multidisciplinary journal with a stated focus on Science, Engineering and Technology. Its scope specifically includes Big Data frameworks, data visualization, predictive analytics and data ethics, alongside Artificial Intelligence, Machine Learning and computer science disciplines.

Researchers considering big data analytics journal publication can review the stated peer-review workflow, open-access model, APC information, indexing claims and institutional requirements before submitting their manuscript.

🚀 Submit Your Big Data Analytics Research

For publication queries, the supplied information lists editorinchief@ijsreat.com. Authors can use the stated online editorial management system to submit a manuscript and track its progress.

Submission Portal: Submit Manuscript to IJSREAT