Call For Papers
The ICMLTBDAPP aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Big Data,Machine Learning,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Supervised learning for big data
- Unsupervised learning techniques
- Deep learning applications in big data
- Feature selection methods for big data
- Scalable machine learning algorithms
- Big data preprocessing techniques
- Real-time machine learning applications
- Machine learning for fraud detection
- Data mining techniques for big data
- Big data in social media analysis
- Machine learning for customer insights
- Transfer learning in big data contexts
- Ensemble methods for big data
- Big data analytics for marketing
- Reinforcement learning applications
- Machine learning in telecommunications
- Challenges in big data analytics
- Big data analytics for risk assessment
- Machine learning for energy management
- Applications of AI in big data
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.