Call For Papers
The ICDMA 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 Data Mining, 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:
- Applications of data mining in business
- Data mining for predictive analytics
- Challenges in real-time data mining
- Data mining techniques for pattern recognition
- Impact of big data on data mining
- Data mining for customer segmentation
- Machine learning in data mining applications
- Data mining for fraud detection
- Text mining for information extraction
- Data mining in social network analysis
- Ethical considerations in data mining
- Data preprocessing techniques for mining
- Data mining for healthcare applications
- Collaborative data mining approaches
- Data mining for environmental monitoring
- Future trends in data mining research
- Data mining in educational contexts
- Data mining for supply chain optimization
- Real-world applications of data mining
- Data mining for decision support systems
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.