KDD 2026

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Paper Deadline

Jul 26, 2026

Passed

Abstract Deadline

Jul 19, 2026

Passed

Conference

Aug 1, 2027 – Aug 5, 2027

Location

San Jose, USA

San Jose McEnery Convention Center, 150 W San Carlos St, San Jose, CA 95113

Flights, hotels & deadlines.

TopicConferenceLocationVenue
MLA*
KDD
ACM Conference on Knowledge Discovery and Data Mining
Past
Past
Seogwipo
South Korea, Asia
29°C
Hot and humid
WebA*
KDD
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Past
Past
San Jose
USA, North America
27°C
Warm and sunny
Past Events
MLA*
KDD
Conference on Knowledge Discovery and Data Mining
Past
Past
Toronto
Canada, North America
25°C
Warm and humid

About KDD

KDD is the flagship conference for data mining and knowledge discovery, organized by ACM SIGKDD. It covers machine learning applications, large-scale data analysis, and data science, with a strong applied research track.

Topic Area

Artificial Intelligence

Frequency

Annual

Typical Timing

August

Known For

Premier data mining conference; strong applied research and industry track

Frequently Asked Questions

What is KDD?
KDD stands for "ACM SIGKDD Conference on Knowledge Discovery and Data Mining." KDD is the flagship conference for data mining and knowledge discovery, organized by ACM SIGKDD. It covers machine learning applications, large-scale data analysis, and data science, with a strong applied research track.
When is KDD 2026?
KDD 2026 takes place from August 1, 2027 to August 5, 2027.
Where is KDD 2026?
KDD 2026 is being held in San Jose, USA at San Jose McEnery Convention Center, 150 W San Carlos St, San Jose, CA 95113.
What is the KDD 2026 submission deadline?
The paper submission deadline for KDD 2026 is July 26, 2026.
Does KDD 2026 have a separate abstract deadline?
Yes, the abstract deadline for KDD 2026 is July 19, 2026, which is before the full paper submission deadline.
What topics does KDD cover?
KDD is a artificial intelligence conference. Premier data mining conference; strong applied research and industry track.

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