Pre-Enrollment

17th September 2026

Final Paper Submission

22nd September 2026

Registration Deadline

2nd October`2026

Conference Date

17th Oct - 18th Oct 2026

Call for Papers

The International Conference on Big Data Analytics and Machine Learning Frameworks invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Big Data,Machine Learning,Information Technology, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big Data Analytics Frameworks Comparison
02
Machine Learning Model Development Frameworks
03
Real-time Analytics Frameworks For Big Data
04
Big Data Visualization Frameworks And Tools
05
Machine Learning For Data Analysis
06
Big Data Applications In Analytics Frameworks
07
Frameworks For Scalable Machine Learning
08
Big Data Architecture For Analytics Solutions
09
Machine Learning For Data-driven Insights
10
Big Data Analytics In Cloud Environments
11
Frameworks For Big Data Processing
12
Machine Learning For Data Integration
13
Big Data Governance Frameworks
14
Frameworks For Predictive Analytics
15
Machine Learning For Data Mining
16
Big Data In Business Intelligence Frameworks
17
Frameworks For Data Quality Management
18
Machine Learning For Real-time Analytics
19
Big Data Analytics For Operational Efficiency
20
Future Trends In Analytics Frameworks
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review