Pre-Enrollment

25th April 2026

Final Paper Submission

30th April 2026

Registration Deadline

10th May`2026

Conference Date

25th May - 26th May 2026

Call for Papers

The International Conference on Big Data Analytics and Statistical Modeling 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 Statistics, 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 Techniques And Tools
02
Statistical Modeling For Large Datasets
03
Data Mining And Statistical Methods
04
Machine Learning Applications In Big Data
05
Statistical Challenges In Big Data
06
Predictive Analytics In Business Intelligence
07
Big Data Visualization Techniques
08
Statistical Methods For Real-time Data
09
Applications Of Big Data In Healthcare
10
Big Data Ethics And Privacy Concerns
11
Statistical Modeling In Social Media Analysis
12
Big Data Applications In Finance
13
Data Quality And Statistical Reliability
14
Statistical Methods For Streaming Data
15
Big Data And Machine Learning Integration
16
Statistical Analysis Of Network Data
17
Big Data Applications In Environmental Science
18
Statistical Techniques For Unstructured Data
19
Big Data In Education And Research
20
Future Trends In Big Data 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