Call For Papers
The ICDMKDS 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 Statistics,Data Science, 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:
- Data mining techniques in statistics
- Knowledge discovery in large datasets
- Statistical methods for data preprocessing
- Data visualization in data mining
- Mining temporal and spatial data
- Statistical learning for big data
- Pattern recognition in data mining
- Data mining applications in healthcare
- Statistical challenges in data mining
- Ethics in data mining practices
- Data mining for social network analysis
- Statistical models for anomaly detection
- Data-driven decision making strategies
- Machine learning in data mining
- Data mining in finance and economics
- Text mining and natural language processing
- Data mining for predictive analytics
- Integrating data mining with statistics
- Real-time data mining applications
- Future trends in data mining
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.