📢 The full CFP will be announced soon. Stay tuned for submission details.

Overview

ICDM 2027 solicits high-quality research papers describing original and unpublished work. Papers will be reviewed by the Program Committee and evaluated on the basis of originality, significance of contribution, technical quality, and clarity of presentation.

Topics of Interest

Topics include but are not limited to:

Foundations of Data Mining
Machine Learning and Deep Learning
Graph Mining and Network Analysis
Temporal and Sequential Data Mining
Spatial and Spatio-temporal Mining
Text and Social Media Mining
Anomaly and Fraud Detection
Privacy-Preserving Data Mining
Recommender Systems
Knowledge Graphs and Reasoning
Data Mining for Scientific Applications
Scalable and Distributed Mining
Explainable AI and Fairness
Data Mining Systems and Platforms

Tracks

Research Track

Original research contributions making a significant advance in the state of the art. Papers must report unpublished work not under review elsewhere.

Program Committee Chairs (Research Track):

Applied Track

Papers describing novel applications of data mining techniques to real-world problems, with emphasis on lessons learned and practical impact.

Program Committee Chairs (Applied Track):

Submission Guidelines