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Call for Paper

The ICRDM emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Data Mining are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

01
Recent trends in data mining techniques
02
Data mining applications in healthcare
03
Big data analytics and predictive modeling
04
Data mining for business intelligence solutions
05
Text mining and natural language processing
06
Social media data mining methodologies
07
Data mining in finance and risk management
08
Spatial data mining and geographic information
09
Data mining for fraud detection
10
Machine learning in data mining applications
11
Data preprocessing and feature selection methods
12
Ethics and privacy in data mining
13
Data mining for customer relationship management
14
Data visualization techniques for insights
15
Data mining in educational data analysis
16
Temporal data mining and time series analysis
17
Data mining in social network analysis
18
Integration of data mining and AI
19
Data mining for environmental monitoring
20
Challenges in data mining research

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.