Topics

Topics Of Interest

This page isolates the technical scope of the conference so visitors can read it as a coherent research summary, not as a fragment buried inside the homepage.

Topics

Technical coverage preview

These entries can be refined into the official ICDM 2028 call for papers once the program chairs finalize wording.

01

Foundations and Theory

Core models, algorithms, theory, and scalable methods for mining complex and large-scale data.

02

Machine Learning and Statistics

Learning paradigms for structured, high-dimensional, uncertain, and continuously evolving datasets.

03

Heterogeneous and Multimodal Data

Text, graph, web, time series, semi-structured, multimedia, spatial, and streaming sources.

04

Systems and Platforms

Parallel, distributed, privacy-aware, secure, and federated infrastructures for data mining workloads.

05

Visualization and Recommendation

Interactive analytics, personalization, interpretability, and decision support from mined knowledge.

06

Cyber-Physical and Dynamic Networks

Mining signals and behavior in connected systems, infrastructure, mobility, and time-evolving networks.

07

Large Models for Data Mining

LLM-supported mining workflows, reasoning over data, retrieval augmentation, and multimodal agents.

08

Novel Applications

Health, climate, finance, engineering, social science, education, and industry-facing data products.