NOV122026

IEEE ICDM 2026 — IEEE International Conference on Data Mining

by IEEE, hosted by Northeastern University, Shenyang

conferenceIn-PersonUpcomingStarts in 4 months

The world's premier research conference in data mining

November 12–15, 2026·Shenyang, China·Paid
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THE DAILY BRIEF
NOV122026
IEEE ICDM 2026 — IEEE International Conference on Data Mining

by IEEE, hosted by Northeastern University, Shenyang

conferenceIn-Personupcoming

The world's premier research conference in data mining

About This Event

IEEE ICDM 2026 runs 12–15 November 2026 in Shenyang, China, hosted by Northeastern University. ICDM describes itself as the world's premier research conference in data mining and covers algorithms, software, systems and applications — foundations and theory, machine learning and deep learning methods, heterogeneous data mining across text, graphs, streaming and multimedia, big data systems and platforms, large language model applications, and domain work in finance, healthcare and climate science. The 2026 edition introduces a new Applied Track for real-world deployments, industrial systems, interdisciplinary studies, new datasets and comprehensive algorithm analysis, alongside the established Research Track. Research Track papers are capped at ten pages in IEEE two-column format and reviewed triple-blind; Applied Track papers are single-blind. Overlength submissions are rejected without review. The programme also carries workshops, tutorials, demonstrations, a PhD Forum, an Education Forum, a BlueSky Track and a Teen Research Symposium. ICDM has historically been highly selective — 98 of 990 submissions accepted in 2021, a 9.9% rate, against a 15.5% average across seventeen years.

At a Glance

Date
November 12–15, 2026
Location
Shenyang, China
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE, hosted by Northeastern University, Shenyang
Added
Jun 24, 2026
Updated
Aug 7, 2026

Topics & Focus Areas

Data MiningMachine Learning and Deep LearningGraph Mining and Network AnalysisLarge Language Model ApplicationsBig Data Systems and PlatformsStreaming and Time-Series AnalysisRecommender SystemsApplied AI in Finance, Healthcare and Climate Science

Who Should Attend

  • Data mining and machine learning researchers
  • Applied scientists and research engineers
  • PhD students and postdocs
  • Heads of data science and ML platform teams
  • Graph and recommender systems engineers
  • Industrial R&D leads

Organizer

I

IEEE, hosted by Northeastern University, Shenyang

icdm2026.neu.edu.cn/

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About This Event

IEEE ICDM 2026 runs 12–15 November 2026 in Shenyang, China, hosted by Northeastern University. ICDM describes itself as the world's premier research conference in data mining and covers algorithms, software, systems and applications — foundations and theory, machine learning and deep learning methods, heterogeneous data mining across text, graphs, streaming and multimedia, big data systems and platforms, large language model applications, and domain work in finance, healthcare and climate science. The 2026 edition introduces a new Applied Track for real-world deployments, industrial systems, interdisciplinary studies, new datasets and comprehensive algorithm analysis, alongside the established Research Track. Research Track papers are capped at ten pages in IEEE two-column format and reviewed triple-blind; Applied Track papers are single-blind. Overlength submissions are rejected without review. The programme also carries workshops, tutorials, demonstrations, a PhD Forum, an Education Forum, a BlueSky Track and a Teen Research Symposium. ICDM has historically been highly selective — 98 of 990 submissions accepted in 2021, a 9.9% rate, against a 15.5% average across seventeen years.

Key Dates & Deadlines

  • Author notification (main conference)
  • Workshop paper submission
  • Demo submission
  • Camera-ready deadline (main conference)
  • Workshop paper notification
  • Demo notification
  • Camera-ready deadline (workshops and demos)

At a Glance

Date
November 12–15, 2026
Location
Shenyang, China
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE, hosted by Northeastern University, Shenyang
Added
Jun 24, 2026
Updated
Aug 7, 2026

Topics & Focus Areas

Data MiningMachine Learning and Deep LearningGraph Mining and Network AnalysisLarge Language Model ApplicationsBig Data Systems and PlatformsStreaming and Time-Series AnalysisRecommender SystemsApplied AI in Finance, Healthcare and Climate Science

Who Should Attend

  • Data mining and machine learning researchers
  • Applied scientists and research engineers
  • PhD students and postdocs
  • Heads of data science and ML platform teams
  • Graph and recommender systems engineers
  • Industrial R&D leads

Why Attend

ICDM is where the methods that reach production data platforms two or three years later are first published, and the 2026 Applied Track makes that pipeline shorter by design — it exists specifically for industrial systems, real deployments and new datasets rather than benchmark papers. For a head of data science or ML platform, four days here is a survey of what is credible in graph mining, streaming, recommender systems and LLM-backed data work, filtered by a sub-10% acceptance bar. The demonstrations track and PhD Forum double as an evaluation and recruiting channel for research-grade hires in Asia.

Event Features

  • Research Track — ten-page papers, triple-blind review
  • Applied Track — new for 2026, single-blind, for real-world deployments and industrial systems
  • Workshops programme with its own paper submission and camera-ready cycle
  • Tutorials programme
  • Demonstrations track with a separate submission and camera-ready cycle
  • PhD Forum and Education Forum
  • BlueSky Track for speculative and agenda-setting work
  • Teen Research Symposium

What Makes This Unique

  • One of the most selective venues in the field: 98 of 990 submissions accepted in 2021 (9.9%), with sub-10% rates through 2016–2021 and a 15.5% average over seventeen years
  • New for 2026 — an Applied Track for production systems, industrial deployments and new datasets, reviewed single-blind so real-world work is not forced into a research-paper shape
  • Triple-blind review on the Research Track, stricter than the double-blind standard at most ML venues
  • An unusually wide satellite programme: workshops, tutorials, demonstrations, PhD Forum, Education Forum, BlueSky Track and a Teen Research Symposium
  • Hard ten-page IEEE two-column limit, enforced by desk rejection rather than negotiated
  • Deadline-rich autumn calendar — workshop papers, demos, camera-ready and workshop notifications all land between August and October 2026

Industries Represented

TechnologyFinancial ServicesHealthcareAcademia and ResearchTelecommunications

Organizer

I

IEEE, hosted by Northeastern University, Shenyang

icdm2026.neu.edu.cn/

Frequently Asked

When is IEEE ICDM 2026?
IEEE ICDM 2026 takes place November 12–15, 2026 in Shenyang, China.
Where is IEEE ICDM 2026 held?
IEEE ICDM 2026 is held in Shenyang, China. The event format is in-person.
What is the IEEE ICDM 2026 submission deadline?
The next IEEE ICDM 2026 deadline is author notification (main conference) on Aug 16, 2026. Remaining dates: Workshop paper submission — Aug 20, 2026; Demo submission — Aug 20, 2026; Camera-ready deadline (main conference) — Sep 9, 2026; Workshop paper notification — Sep 20, 2026; Demo notification — Sep 20, 2026; Camera-ready deadline (workshops and demos) — Oct 5, 2026.
How much does IEEE ICDM 2026 cost?
IEEE ICDM 2026 is paid.
Who should attend IEEE ICDM 2026?
IEEE ICDM 2026 is aimed at Data mining and machine learning researchers, Applied scientists and research engineers, PhD students and postdocs, Heads of data science and ML platform teams, Graph and recommender systems engineers, Industrial R&D leads.
What topics does IEEE ICDM 2026 cover?
IEEE ICDM 2026 covers Data Mining, Machine Learning and Deep Learning, Graph Mining and Network Analysis, Large Language Model Applications, Big Data Systems and Platforms, Streaming and Time-Series Analysis, Recommender Systems, Applied AI in Finance, Healthcare and Climate Science.

Sources

This page was written from 4 sources, 2 on domains other than icdm2026.neu.edu.cn.

  1. 1.icdm2026.neu.edu.cnicdm2026.neu.edu.cnvendor
  2. 2.icdm2026.neu.edu.cnlist.pspvendor
  3. 3.myhuiban.com142
  4. 4.getpaperpilot.comicdm 2026
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