Conference Information

ICDM'' 2026: International Conference on Intelligent Computing and Data Mining

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Submission Date:
2026-10-16 Closed
Notification Date:
2026-10-20
Conference Date:
2026-10-30
Location:
Changchun, China
Years:
3
Viewed: 5183   Tracked: 1   Attend: 0
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Conference Partner Index (CP-I)

42.9 / 100
Ranked #3,906 of 5,768 conferences · Top 68%

#227 of 339 in Data Mining & Databases #501 of 753 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
37
Community attention (10%)
27
Public record completeness (15%)
35

Inputs used: Editions on record: 3 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 14

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-11-04

Call For Papers

ICDM'' 2026 (International Conference on Intelligent Computing and Data Mining) is an academic conference held in Changchun, China on 2026-10-30. The paper submission deadline is 2026-10-16. Acceptance notifications are sent on 2026-10-20.

The 3rd International Conference on Intelligent Computing and Data Mining (ICDM 2026) will be held from October 30 to November 1, 2026, in Changchun, China. At this conference, experts and scholars from around the world will engage in in-depth discussions on intelligent computing and data mining, which are current research hotspots in the field of information technology. As key technologies widely applied in industries such as finance, healthcare, education, and transportation, intelligent computing and data mining are facing both challenges and opportunities brought by the era of big data. With the explosive growth of data volume, extracting valuable information from massive datasets has become an urgent problem to be solved. Intelligent computing and data mining address this challenge by analyzing and processing data, providing intelligent decision support. These technologies are not merely technical tools but also represent a way of thinking—they require us to adopt a data-driven approach when confronting complex problems, uncovering patterns and correlations behind the data to identify the essence of problems and their solutions. This conference will delve into the latest research achievements in the field of intelligent computing and data mining, providing a platform to share experiences and insights, and collectively advancing the development of this dynamic field. The topics of interest for submission include, but are not limited to: ◕Intelligent Computing · Evolutionary Computing and Learning · Genetic Algorithms · Particle Swarm Optimization and Niche Technology · Swarm Intelligence and Optimization · Independent Component Analysis · Natural Computing · Quantum Computing · Neural Networks · Nature Inspired Computing and Optimization · Rough Sets · Fuzzy Theory and Algorithms · Pervasive/Ubiquitous Computing · Supervised Learning · Unsupervised Learning · Reinforcement Learning · Kernel Methods and Supporting Vector Machines · Machine Learning · Knowledge Discovery and Data Mining · Natural Language Processing and Computational Linguistics · Intelligent Computing in Robotics · Intelligent Computing in Computer Vision · Intelligent Computing in Finance/Banking · Intelligent Computing in Communication Networks · Intelligent Control and Automation · Intelligent Image/Document Retrievals · Intelligent Data Fusion · Intelligent Data Analysis & Prediction ◕Data Mining · Scalable Data Preprocessing · Parallel and Distributed Data Mining Algorithms · Mining on Data Streams · Graph and Subgraph Mining · Methodologies on Large-scale Data Mining · Text, Video, Multimedia Data Mining · Web Mining · High Performance Data Mining Algorithms · Data Mining Visualization · Security and Privacy Issues · Competitive Analysis of Mining Algorithms ---Publication---- All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the conference proceedings and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
Last updated by Dou Sun on

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