International Conference on Big Data Integration and Knowledge Management - (ICBDIKM-26)


8th - 9th October, 2026 | Las vegas, USA

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

8th September, 2026

Paper Submission Deadline

13th September, 2026

Last Date Of Registration

23rd September, 2026

Date Of Conference

8th - 9th October, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICBDIKM-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Computational Science,Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Knowledge management in big data contexts
  • Data integration techniques for heterogeneous sources
  • Big data analytics for decision making
  • Machine learning for knowledge discovery
  • Data governance in big data environments
  • Challenges in big data integration
  • Real-time knowledge management solutions
  • AI for enhancing data quality
  • Big data visualization for knowledge sharing
  • Interdisciplinary approaches to data integration
  • Big data in healthcare knowledge management
  • Applications of big data in education
  • Data-driven strategies for knowledge creation
  • Future trends in big data integration
  • Collaborative knowledge management practices
  • Big data for enhancing organizational learning
  • Ethics in big data knowledge management
  • Machine learning for data-driven insights
  • Big data solutions for research collaboration
  • Knowledge management frameworks for big data

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot