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8월 03일 - 2025년 8월 07일

순위: A* (CORE2023)Offline

ACM International Conference on Knowledge Discovery and Data Mining

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개요

The ACM International Conference on Knowledge Discovery and Data Mining (KDD) 2025 will be held in Toronto, Canada, from August 3-7, 2025, at the Toronto Convention Centre. The conference focuses on knowledge discovery and data science, featuring both a Research Track and an Applied Data Science (ADS) Track, along with workshops, tutorials, and various other events. Early bird registration rates are available until June 18th.

논문 모집

ACM International Conference on Knowledge Discovery and Data Mining (KDD 2025): Call for Papers

The ACM International Conference on Knowledge Discovery and Data Mining (KDD) 2025 is the premier Data Science conference, hosted in Toronto, Canada, from Sunday, August 3, 2025, to Thursday, August 7, 2025, at the Toronto Convention Centre.

KDD features multiple submission cycles and tracks, including a Research Track, an Applied Data Science (ADS) Track, and a Datasets and Benchmarks Track. A paper should be submitted to only one track.

Research Track: Call for Papers

KDD 2025 invites submissions describing innovative research on all aspects of knowledge discovery and data science, from theoretical foundations to novel models and algorithms for data science problems across various domains. Visionary papers and application-oriented papers with technical contributions are also welcome.

Submission Cycles & Deadlines:

1st Cycle (Completed)

  • Paper Abstract Deadline: August 1, 2024
  • Paper Deadline: August 8, 2024
  • Author Rebuttal Period: October 4-18, 2024
  • Notification to Authors: November 16, 2024

2nd Cycle

  • Paper Abstract Deadline: February 3, 2025
  • Paper Deadline: February 10, 2025
  • Author Rebuttal Period: April 4-18, 2025
  • Notification to Authors: May 16, 2025
  • Camera-ready Deadline: June 1, 2025
  • Registration Deadline: June 18, 2025

All deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.

Applied Data Science (ADS) Track: Call for Papers

This track focuses on research and applications relevant to data science in practice. The deadlines mirror the Research Track.

Datasets and Benchmarks Track: Call for Papers

  • Paper Abstract Deadline: February 17, 2025
  • Paper Deadline: February 24, 2025
  • Notification to Authors: May 16, 2025

Submission Guidelines (General for Research & ADS Tracks)

  • Submission Platform: OpenReview.
  • OpenReview Profiles: All authors must have an up-to-date OpenReview profile with mandatory fields (affiliation, homepage, DBLP, ORCID, Advisors, Recent Publications) completed. Incomplete profiles may lead to desk rejection.
  • Authorship: Adheres to ACM authorship policy. Substantial contribution required. Use of generative AI tools must be disclosed. Maximum of 7 submissions per author in the research track.
  • Authorship Changes: Must be finalized by the submission deadline. Only spelling corrections or affiliation changes are permitted afterward.
  • Anonymity: The review process for the Research Track is double-blind. Submissions must omit author names, affiliations, acknowledgments, and self-citations. Refer to your work in the third person.
  • Formatting Requirements:
    • Must be in English.
    • Double-column format using the ACM template (LaTeX: \documentclass[sigconf,anonymous,review]{acmart}; Word users can use the Word Interim Template).
    • Single PDF file: 8 content pages for the main paper, followed by references and an optional Appendix (no page limit). The first 8 pages must be self-contained.
  • Originality and Concurrent Submissions: Submissions must present original work and cannot be under review or published elsewhere. Preprints are allowed without citation.
  • Resubmission Guidelines: Papers with a "Resubmit" decision from a previous cycle can be revised and resubmitted. Resubmissions must be indicated, along with the previous submission ID, and include a summary of changes.
  • Reviewer Requirement: Each submission must nominate at least one author who is a qualified reviewer. Failure to nominate a qualified reviewer or to perform reviewing duties can result in desk rejection.
  • Ethical Use of Data: Authors are encouraged to include a section on ethical data use and informed consent, adhering to ACM Publications Policies.

Reviewing Process

  • Each submission receives at least three independent reviews. Area Chairs (ACs) oversee the process.
  • Authors have a rebuttal period to respond to reviews.
  • Withdrawal is permitted only during the rebuttal period.
  • Decisions are based on technical merit, originality, impact, quality, reproducibility, and ethics.
  • Accepted papers' submissions, reviews, and discussions will be made public on OpenReview.

Conflict of Interest (COI) Policy

Authors and reviewers must declare conflicts of interest in OpenReview (domain and personal). Adherence to ACM's Conflict of Interest Policy and Code of Ethics is expected. Transgressions may result in disciplinary actions, including a ban from SIGKDD events.

Publication and Presentation Policies

  • Publication: Accepted papers will be published by ACM and accessible via the ACM Digital Library. The maximum page length is 12 pages (9 content pages + 3 pages for references/appendix).
  • Reproducibility: Authors are encouraged to make code and data publicly available. The "Artifacts Available" badge can be applied for.
  • Registration: Each accepted paper requires one Full Conference (5-day) registration at the standard in-person rate by the specified deadline.
  • Presentation: Every accepted paper must be presented at the conference. No-show papers may be withdrawn.

Program Committee Co-Chairs

  • Email: KDD25-pc-chairs@acm.org
    • Yizhou Sun (University of California, Los Angeles)
    • Flavio Chierichetti (Sapienza University of Rome)
    • Hady W. Lauw (Singapore Management University)

Calls for Proposals

Other Calls

Frequently Asked Questions

For inquiries about paper submissions, deadlines, or becoming a reviewer, please refer to the FAQ.

중요 일정

컨퍼런스 날짜

Conference Date

2025년 8월 3일2025년 8월 7일

이전:
  • 2026년 8월 9일 - 2026년 8월 13일

제출

(Research Track and ADS Track) Paper Abstract Deadline

2025년 2월 3일

(Research Track and ADS Track) Paper Deadline

2025년 2월 10일

(Datasets and Benchmarks Track) Paper Abstract Deadline

2025년 2월 17일

결과 통보

(Datasets and Benchmarks Track) Notification

2025년 5월 16일

(Research Track and ADS Track) Notification

2025년 5월 16일

최종본

Camera-ready

2025년 6월 1일

등록

Early Bird Deadline

2025년 6월 18일

출처 순위

출처: CORE2023

순위: A*

연구 분야: Data management and data science, Machine learning

지도

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