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Call For Papers

The ICDCPT bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.