Academic · Conference

International Conference on Data Mining 2026

A professional gathering for researchers and innovators in the field of data mining.

Thu, 4 Jun 2026 9:00 AM – 5:00 PM (GMT-07:00) Harrison Lake Hotel Harrison Hot Springs , British Columbia
The International Conference on Data Mining brings together leading researchers, academics, and industry professionals to explore the latest advancements in data science and mining technologies. Held at the Harrison Lake Hotel in Harrison Hot Springs, British Columbia, this event provides a platform for knowledge exchange, networking, and collaborative research. Participants will engage in discussions regarding evolving global challenges and innovative solutions, making it a vital gathering for those dedicated to the future of data analytics.

What to Expect

A formal academic environment focused on technical presentations and professional networking.

Who Should Attend

  • Data scientists
  • Researchers
  • Academics
  • Industry professionals
  • Students

Agenda Overview

The conference features a full day of sessions, including keynote addresses and panel discussions.
Venue & Address
Harrison Lake Hotel
190 Lillooet Rd
Harrison Hot Springs , British Columbia
Canada
Organizer
International Conference Alerts · Organization
A platform connecting researchers with relevant global conferences.

Frequently Asked Questions

When is the conference?
June 4, 2026.
Where is the venue?
Harrison Lake Hotel, Harrison Hot Springs, BC.
Who should attend?
Researchers, academics, and data science professionals.
Is registration required?
Yes, please check the official conference portal.
Are there other events?
The region hosts various mining-related gatherings.
Is accommodation available?
The venue is a hotel, offering on-site lodging.
Tags
Data Mining Technology Conference Academic Research BC
Summary
A professional data mining conference held in Harrison Hot Springs, BC, on June 4, 2026.
Highlights
  • Expert keynote speakers
  • Research paper presentations
  • Networking opportunities
  • Industry insights
  • Academic collaboration
  • Data science workshops
Something wrong?
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