13th International Conference on Data Mining and Database (DMDB 2026)
March 14 ~ 15, 2026, Vienna,Austria
https://ccseit2026.org/dmdb/index
Scope
13th International Conference on Data Mining and Database (DMDB 2026) provides a premier platform for researchers, practitioners, and industry experts to share cutting edge developments in data mining, database systems, and data driven intelligence. The conference offers a rigorous, peer reviewed venue for presenting innovative research, real world applications, system implementations, and comprehensive survey studies.
We invite authors to submit high quality papers show casing significant advances in data mining, data analytics, and database management systems. Submissions may include original research results, novel methodologies, practical case studies, experimental evaluations, and industrial experiences that push the boundaries of data driven technologies and applications.
Topics of interest
Foundations of Data Mining & Machine Learning
Theoretical foundations, algorithms, and models
Optimization for data mining
Scalable, distributed, and parallel learning
Online, incremental, and streaming learning
Self supervised, weakly supervised, and semi supervised learning
Causal discovery and causal data mining
Explainable and interpretable data mining
Advanced Data Mining Techniques
Mining structured, semi structured, and unstructured data
Text, graph, web, multimedia, and social data mining
Spatio temporal, mobility, and sensor data mining
High dimensional, sparse, and heterogeneous data
Personalization, recommendation, and user modeling
Visualization, summarization, and pattern discovery
Big Data Systems, Platforms & Scalability
Large scale data mining systems and architectures
Distributed, cloud, and edge data processing
Analytical data platforms, data lakes, and lakehouses
High performance data management and query processing
Data mining on GPUs, accelerators, and specialized hardware
Databases: Theory, Systems &Architectures
Database management systems (DBMS)
Query processing, optimization, and indexing
Transaction management and concurrency control
Very large databases (VLDB)
Multi model and next generation database systems
Temporal, spatial, and high dimensional databases
Metadata management and schema evolution
Data Integration, Quality & Governance
Data integration, fusion, and interoperability
Data cleaning, quality assessment, and error detection
Entity resolution and deduplication
Data semantics, ontologies, and knowledge representation
Data lineage, provenance, and governance frameworks
Privacy, Security & Trust in Data Systems
Privacy preserving data mining
Differential privacy and secure computation
Data anonymization and synthetic data
Trust, security, and risk management in digital ecosystems
Secure data sharing and federated data management
Knowledge
Discovery, Reasoning & Decision Support
Knowledge graphs and semantic data processing
Knowledge modeling and reasoning
Intelligent decision support systems
Automated discovery pipelines and data driven decision systems
Data Streams, Real TimeAnalytics & Edge Intelligence
Stream processing and real time analytics
Event detection, anomaly detection, and time series mining
Edge data management and IoT analytics
Mobile and pervasive data intelligence
Information Retrieval, Search & Web Data
Information retrieval models and systems
Web mining, search engines, and ranking algorithms
Semantic web and linked data
Large scale content management
Applied Data Mining & Domain DrivenAnalytics
Data mining for finance, e commerce, and digital business
Healthcare, biomedical, and scientific data mining
Industrial analytics, automation, and process mining
Smart cities, transportation, and environmental analytics
Data Driven Systems, Workflows &Automation
Data pipelines, workflow automation, and orchestration
Process modeling, monitoring, and optimization
MLOps and automated data engineering
Human in the loop analytics
Emerging Topics in Data Mining & Databases
Graph neural networks (GNNs)
Foundation models for data management
Data centricAI
Responsible and ethical data mining
Synthetic data generation and evaluation
Multimodal data integration and analytics
Paper Submission
Authors are invited to submit papers through the conference Submission System by February 28, 2026(Final Call). 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 (H index 45) in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from DMDB 2026, after further revisions, will be published in the special issue of the following journals
International Journal of Database Management Systems (IJDMS)
International Journal of Data Mining & Knowledge Management Process (IJDKP)
Information Technology in Industry (ITII)
Important Dates
Submission Deadline: February 28, 2026(Final Call)
Authors Notification : March 10, 2026
Final Manuscript Due :March 12, 2026
Contact Us:
Here's where you can reach us: dmdb@ccseit2026.org or dmdbconfe@yahoo.com