Call For Papers

The ICCDA 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 Analytics, Computational Science, Computer Software and Applications, Computer Science Engineering, Computing , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big Data Analytics Techniques and Tools
02
Data Mining for Predictive Analytics
03
Machine Learning in Data Analysis
04
Data Visualization Methods and Best Practices
05
Cloud Computing for Data Management
06
Data Privacy and Security Challenges
07
Real-time Data Processing Techniques
08
Data Quality Assessment and Improvement
09
Applications of Data Science in Industry
10
Statistical Methods for Data Analysis
11
Data Governance and Compliance Issues
12
Data Integration from Multiple Sources
13
Ethical Considerations in Data Analysis
14
Data Analytics in Healthcare Applications
15
Text Mining and Natural Language Processing
16
Data-Driven Decision Making Strategies
17
Data Analysis in Social Media Research
18
Challenges in Big Data Implementation
19
Data Analytics for Smart Cities
20
Future Directions in Data Science Research

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



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