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Call for Paper

The ICDMKD 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, Knowledge Management 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
Trends in data mining methodologies
02
Applications of data mining in finance
03
Data mining for social media analysis
04
Predictive modeling techniques in data mining
05
Challenges in big data mining
06
Data mining for customer relationship management
07
Machine learning applications in data mining
08
Data mining in healthcare analytics
09
Text mining for sentiment analysis
10
Data mining for risk management
11
Real-time data mining applications
12
Data mining in e-commerce strategies
13
Ethical considerations in data mining
14
Data mining for supply chain optimization
15
Data cleaning techniques for mining processes
16
Collaborative data mining approaches
17
Data mining for environmental sustainability
18
Data mining in educational data analysis
19
Impact of AI on data mining practices
20
Future directions 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.