Describes the series’ typical recent cycle; last reviewed 2026-08-07. The official call is the authority on this year’s dates.
About the conference
KDD is the flagship of data mining and applied data science, distinctive for its strong Applied Data Science track where industrial deployments are first-class research contributions. Graph mining, recommender systems, anomaly detection, and scalable ML are core territory.
Papers are typically due in February for the August conference. The dual-track structure is worth exploiting deliberately: rigorous deployment stories that would struggle in a methods track are exactly what the ADS track wants.
Frequently asked questions
When is the KDD deadline?
Typically in February, for the conference each August. Research and Applied Data Science tracks share roughly the same window — kdd.org has the current dates.
Writing toward KDD?
Kahubi drafts from your library and your results — LaTeX compiled to PDF, citations in the venue’s style, version history for the rebuttal.