Call For Papers
The ICDCPT 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 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 cleaning techniques for large datasets
- Preprocessing methods for machine learning
- Handling missing data in engineering
- Outlier detection and removal strategies
- Data normalization and transformation methods
- Automated data cleaning tools and frameworks
- Case studies in data preprocessing
- Data quality assessment techniques
- Impact of data quality on analysis
- Best practices for data preprocessing
- Data cleaning in real-time systems
- Ethical considerations in data cleaning
- Data integration challenges and solutions
- Data preprocessing for predictive modeling
- User experiences with data cleaning tools
- Data preprocessing in healthcare applications
- Future trends in data cleaning techniques
- Collaborative approaches to data cleaning
- Data cleaning for IoT applications
- Benchmarking data cleaning methodologies
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.