On-location / Digital Conference

International Conference on Data Mining, Knowledge Management Process and Representation (ICDMKMPR-27)

28th - 29th May 2027,Manila, Philippines

In Association With:

Call for Paper


Important Dates


Early Bird Registration

28th Apr 2027

Paper Submission Deadline

3rd May 2027

Registration Deadline

13th May 2027

Conference Date

28th - 29th May 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Manila ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Manila conference.
  • Peer Review Process:
    The peer review process will begin soon for Manila conference.
  • Networking with Global Experts:
    Join global experts at our conference in Manila.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICDMKMPR 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 Mining, Knowledge Management Process and Representation, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data mining techniques for knowledge discovery
  • Big data analytics in knowledge management
  • Applications of machine learning in data mining
  • Data visualization methods for knowledge representation
  • Challenges in data mining processes
  • Ethics in data mining and management
  • Data mining for business intelligence applications
  • Predictive analytics in knowledge management
  • Text mining techniques for information retrieval
  • Data mining in healthcare applications
  • Social network analysis using data mining
  • Real-time data mining applications
  • Data mining for fraud detection
  • Integration of AI in knowledge management
  • Data preprocessing techniques for mining
  • Collaborative knowledge management systems
  • Data mining in educational contexts
  • Impact of data mining on decision-making
  • Future trends in data mining research
  • Data mining for environmental monitoring

Assessment

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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