Pre-Enrollment

26th April 2027

Final Paper Submission

1st May 2027

Registration Deadline

11th May`2027

Conference Date

26th May - 27th May 2027

Call for Papers

The International Conference on Big Data Analytics with Machine Learning 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 Machine Learning, 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 For Business Insights
02
Machine Learning Algorithms For Data Analysis
03
Data Preprocessing Techniques For Analytics
04
Real-time Big Data Processing Solutions
05
Predictive Analytics In Various Industries
06
Big Data Visualization Techniques
07
Ethical Implications Of Big Data Usage
08
Data Mining Techniques For Insights
09
Machine Learning In Financial Analytics
10
Big Data Challenges In Healthcare
11
Scalable Architectures For Big Data
12
Big Data Security And Privacy Concerns
13
Applications Of Big Data In Marketing
14
Natural Language Processing In Big Data
15
Big Data In Smart City Initiatives
16
Social Media Analytics For Trends
17
Big Data And Machine Learning Integration
18
Future Of Big Data Technologies
19
Collaborative Big Data Projects
20
Impact Of Big Data On Decision Making
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