14th International Conference on Database, Data Mining and Artificial Intelligence (DBDM 2026)

Scope & Topics

14^th International Conference on Database, Data Mining and Artificial Intelligence (DBDM 2026) provides a premier forum for researchers, practitioners, and industry experts to present and discuss the latest innovations, trends, results, and challenges across databases, data mining, and AI driven intelligent systems. The conference aims to foster collaboration and knowledge exchange through high quality, peer reviewed research contributions.

DBDM 2026 encourages submissions in all areas related to databases, data mining, machine learning, and AI driven intelligent systems. Topics include, but are not limited to:

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

Cloud, Distributed, and Parallel Databases
Big Data Platforms and Data Lake Architectures
Query Processing, Optimization, and Indexing
Transaction Processing and Concurrency Control
Data Cleaning, Integration, and Preparation
Data Quality, Provenance, and Governance
High Dimensional, Temporal, and Spatial Databases
Multi Model Databases (Graph, Document, Key Value, Time Series)
Data Streams and Real Time Data Management
Federated and Heterogeneous Databases
Storage Engines, Column Stores, and Log Structured Systems
Metadata, Schema, and Catalog Management
Data Mining Foundations and Algorithms
Deep Learning for Data Mining and Pattern Discovery
Graph Mining, Network Analysis, and Knowledge Graphs
Anomaly, Fraud, and Outlier Detection
Feature Engineering, Representation Learning, and Embeddings
Scalable and Distributed Data Mining
AutoML and Automated Knowledge Discovery
Data Warehousing, OLAP, and Analytical Processing
Data Mining Applications (Healthcare, Finance, IoT, Cybersecurity, etc.)
Explainable Data Mining and Responsible AI
AI for Big Data Analytics
Foundation Models and Large Scale Pretrained Models
Generative AI for Data Mining and Databases
AI Driven Query Optimization and Self Tuning Databases
Intelligent Information Systems
Multi Agent Systems and Intelligent Decision Support
Expert Systems and Knowledge Based Systems
Reinforcement Learning for Data Management
Human AI Interaction and Interactive AI
AI for Data Privacy, Security, and Trust
Data Science Workflows and Pipelines
Data Engineering for AI Systems
Edge, Fog, and IoT Data Management
Blockchain Data Management and Analytics
Smart Cities, Smart Grids, and Sensor Data Systems
Web, Social Media, and Multimedia Data Mining
Semantic Web, Ontologies, and Knowledge Representation
E Commerce, E Government, and Digital Business Analytics
Privacy Preserving Data Mining (PPDM)
Secure Data Sharing and Federated Learning
Adversarial Machine Learning
Ethical AI, Fairness, and Bias Mitigation
Trust, Privacy, and Security in Digital Business
Compliance, Governance, and Responsible Data Use

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 14, 2026 .

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).

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