14th International Conference on Artificial Intelligence, Data Mining & Knowledge Management (AIDMK 2026)

Program Committee

Accepted Papers

Copenhagen, Denmark

Scope Call for Participation Program Schedule

14^th International Conference on Artificial Intelligence, Data Mining & Knowledge Management (AIDMK 2026) serves as a premier global forum for presenting and discussing the latest innovations, research findings, and emerging trends across the rapidly evolving fields of AI driven data mining and knowledge management. As organizations increasingly rely on intelligent systems to extract insights, automate decision-making, and manage vast volumes of complex data, the need for advanced methodologies and deeper theoretical understanding has never been greater.

Call for Papers

AIDMK 2026 brings together researchers, practitioners, and industry experts to explore innovative developments in modern data mining, machine learning, artificial intelligence, and knowledge engineering. The conference aims to foster collaboration between academia and industry, promote cross-disciplinary dialogue, and accelerate progress in building intelligent systems capable of learning, reasoning, and discovering knowledge at scale.

Authors are invited to contribute high quality research articles, innovative project results, comprehensive surveys, and real world industrial experiences that demonstrate significant advances in data mining, AI driven knowledge discovery, and related domains such as signal processing, image analysis, and pattern recognition. By providing a platform for sharing breakthroughs and practical insights, AIDMK 2026 seeks to advance the state of the art and inspire new directions in intelligent data and knowledge technologies.

Topics of interest include, but are not limited to, the following

Foundations of Data Mining, Machine Learning & AI

Scalable, Parallel, and Distributed Data Mining Algorithms
Mining Data Streams, Real Time Analytics, and Online Learning
Graph Mining, Network Science, and Knowledge Graph Mining
Spatial, Temporal, and Spatio Temporal Data Mining
Text, Multimedia, Video, and Multimodal Data Mining
Web Mining, Social Media Mining, and Behavioral Analytics
Feature Engineering, Data Cleaning, and Pre Processing Pipelines
Robust Learning from Noisy, Incomplete, or Low Quality Data
Explainable AI (XAI), Interpretable Models, and Transparent Mining
Privacy Preserving Data Mining (DP, MPC, Federated Analytics)
Adversarial Machine Learning, Robustness, and Secure Data Mining

Advanced AI & Machine Learning for Knowledge Discovery

Deep Learning Architectures for Knowledge Extraction
Foundation Models, LLMs, and Multimodal AI for Data Mining
Retrieval Augmented Generation (RAG) and LLM Integrated Knowledge Discovery
Self -Supervised, Weakly Supervised, and Semi Supervised Learning
Reinforcement Learning, Sequential Decision Making, and Policy Learning
Causal Discovery, Causal Inference, and Counterfactual Reasoning
AutoML, Neural Architecture Search, and Automated Knowledge Discovery
Generative AI, Synthetic Data, and Data Augmentation
Trustworthy AI: Fairness, Bias Mitigation, and Responsible Data Mining

Big Data Platforms, AI Systems & Scalability

Distributed Data Processing Frameworks (Spark, Flink, Ray, etc.)
High Performance Data Mining on Cloud, Edge, and Hybrid Systems
AI Systems: Training, Serving, and Optimization for Large Models
Data Mining on GPUs, TPUs, and Accelerator Rich Architectures
Streaming Systems, Event Driven Pipelines, and Real Time Analytics
Data Lakehouse Architectures and Large Scale Data Management
Scalable ML Systems, MLOps, and End to End AI Pipelines
Benchmarking, Performance Evaluation, and Optimization of AI/ML Systems

Knowledge Management, Reasoning & Representation

Knowledge Representation, Ontologies, and Semantic Technologies
Knowledge Graph Construction, Completion, Alignment, and Reasoning
Integration of Data Warehousing, OLAP, and Modern Data Platforms
Knowledge Discovery Frameworks, Pipelines, and Process Automation
Pre and Post Processing for KDD: Summarization, Explanation, Validation
Interactive Data Exploration, Visualization, and Human in the Loop Mining
Languages, Interfaces, and Tools for Knowledge Management
Mining and Reasoning over Foundation Model Outputs
AI Driven Knowledge Management and Enterprise Intelligence

Applications of Data Mining, Knowledge Management & AI

Bioinformatics, Genomics, and Computational Biology
Healthcare Analytics, Medical AI, and Clinical Decision Support
Financial Modeling, Fraud Detection, and Risk Analytics
Cybersecurity Analytics and Threat Intelligence
Image, Video, and Sensor Data Analysis
Social Network Analysis and Community Detection
Educational Data Mining and Learning Analytics
Recommender Systems, Personalization, and User Modeling
Smart Cities, IoT Analytics, and Cyber Physical Systems
Environmental, Climate, and Sustainability Data Mining
Scientific Discovery, Simulation Driven Analytics, and Digital Twins
AI Enhanced Decision Support and Intelligent Automation

Emerging Trends & Future Directions in AI Driven Knowledge Discovery

Federated Learning, Collaborative Mining, and Edge Intelligence
Data Centric AI: Data Quality, Curation, Governance, and Lineage
Responsible AI: Ethics, Transparency, and Compliance in Data Mining
Temporal Knowledge Discovery, Event Forecasting, and Sequence Modeling
Graph Neural Networks (GNNs), Graph Transformers, and Dynamic Graph Mining
Mining Massive Knowledge Bases and Large Scale Foundation Models
AI for Scientific Discovery and Research Acceleration
Opportunities, Risks, and Societal Impact of AI Driven Data Mining

Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from AIDMK 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Second Batch : submissions after May 11, 2026

Submission Deadline

Closed

Authors Notification

June 24, 2026

Registration & camera - Ready Paper Due

June 26, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to AIDMK 2026