Pre-Enrollment

21st February 2027

Final Paper Submission

26th February 2027

Registration Deadline

8th March`2027

Conference Date

23rd Mar - 24th Mar 2027

Call for Papers

The International Conference on Big Data Processing and Machine Learning Models 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 Processing Techniques And Tools
02
Machine Learning Model Development Lifecycle
03
Real-time Big Data Analytics Solutions
04
Big Data Challenges In Machine Learning
05
Data Mining Techniques For Big Data
06
Machine Learning For Data Classification
07
Big Data Integration With Machine Learning
08
Scalable Machine Learning Frameworks
09
Big Data Preprocessing For Ml Models
10
Applications Of Reinforcement Learning
11
Big Data Analytics For Business Intelligence
12
Machine Learning For Time Series Analysis
13
Big Data Visualization Techniques
14
Data Governance In Machine Learning Projects
15
Big Data Security And Privacy Issues
16
Machine Learning For Sentiment Analysis
17
Big Data In Financial Services
18
Machine Learning For Supply Chain Optimization
19
Big Data Applications In Retail
20
Future Directions In Big Data Processing
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