The 25th International Conference on Data Mining (ICDM 2025) is dedicated to Data mining research including software, systems, algorithms and applications.
The 25th International Conference on Data Mining (ICDM 2025) topics include:
Theoretical and Application-oriented Topics
Clustering
Case-Based Reasoning and Similarity-Based Reasoning
Statistical Learning
Classification & Prediction
Telecommunication
Association Rules
Strategy of Experimentation
Design of Experiment
Deviation and Novelty Detection
Capability Indices
Conceptional Learning
Control Charts
Inductive Learning Including Decision Tree and Rule Induction Learning
Goodness Measures and Evaluation (e.g. false discovery rates)
Sampling Methods
Organisational Learning and Evolutional Learning
Statistical Learning and Neural Net Based Learning
Similarity Measures and Learning of Similarity
Deviation and Novelty Detection
Visualization and Data Mining
Feature Learning
Feature Grouping, Discretization, Selection and Transformation
Learning and Adaptive Control
Frequent Pattern Mining
Learning for Handwriting Recognition
Learning/Adaption of Recognition and Perception
Mining Financial or Stockmarket Data
Learning in Image Pre-Processing and Segmentation
Subspace Methods
Mining Motion from Sequence
Time Series and Sequential Pattern Mining
Support Vector Machines
Graph Mining
Desirabilities
Applications in Software Testing
Agent Data Mining
Mining Social Media
Knowledge Management
Behavioral Targeting
Online Targeting & Controlling
Data Mining in Logistics
Meteorological Data Mining
Business Intelligence and Data Mining
Data Mining in Energy Industry
Legal Informatics and Data Mining
Big Data and Algorithm for Big Data
Data Mining for Logistic and Supply Chain Management
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