On-location / Digital Conference

International Conference on Data Mining and Knowledge Discovery in Statistics (ICDMKDS-26)

21st - 22nd Oct 2026,Los Angeles, USA

In Association With:

Call for Paper


Important Dates


Early Bird Registration

21st Sep 2026

Paper Submission Deadline

26th September 2026

Registration Deadline

6th October 2026

Conference Date

21st - 22nd Oct 2026

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Los Angeles ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Los Angeles conference.
  • Peer Review Process:
    The peer review process will begin soon for Los Angeles conference.
  • Networking with Global Experts:
    Join global experts at our conference in Los Angeles.
  • 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 ICDMKDS 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 and Knowledge Discovery in Statistics, 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 in statistics
  • Knowledge discovery in large datasets
  • Statistical methods for data preprocessing
  • Data visualization in data mining
  • Mining temporal and spatial data
  • Statistical learning for big data
  • Pattern recognition in data mining
  • Data mining applications in healthcare
  • Statistical challenges in data mining
  • Ethics in data mining practices
  • Data mining for social network analysis
  • Statistical models for anomaly detection
  • Data-driven decision making strategies
  • Machine learning in data mining
  • Data mining in finance and economics
  • Text mining and natural language processing
  • Data mining for predictive analytics
  • Integrating data mining with statistics
  • Real-time data mining applications
  • Future trends in data mining

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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