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 Machine Learning in Big Data Analytics for IT 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
Machine Learning For Data Analytics
02
Big Data Processing Frameworks
03
Ai Techniques For Data Mining
04
Predictive Modeling In Big Data
05
Data Visualization For Analytics
06
Big Data Architecture And Design
07
Machine Learning In Business Intelligence
08
Big Data Analytics For Decision Making
09
Data Integration Techniques For Analytics
10
Ai-driven Insights From Big Data
11
Real-time Analytics Solutions
12
Machine Learning For Operational Efficiency
13
Big Data In Healthcare Analytics
14
Natural Language Processing For Analytics
15
Ai Applications In Data Governance
16
Big Data Analytics In Retail
17
Machine Learning For Customer Segmentation
18
Data Ethics In Analytics
19
Big Data Trends And Challenges
20
Future Of Machine Learning In Analytics
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