International Conference on Database Theory and Application 2025
Event Details
DTA 2025 will be the most comprehensive conference focused on the various aspects of advances in Database Theory and
Event Details
DTA 2025 will be the most comprehensive conference focused on the various aspects of advances in Database Theory and Application. Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Database Theory and Application.
The goal of this conference is to bring together researchers from academia and industry as well as practitioners to share ideas, problems, and solutions relating to the multifaceted aspects of Database Theory and Application.
All papers accepted and registered will be included in STEM Proceedings and selected papers will be included in SCOPUS and EI journals.
Topics of Conference
- Advanced databases (object-oriented DB, web-based DB, multimedia DB, temporal and spatial DB, deductive and active DB, etc.)
- Biomedical and Healthcare data mining privacy
- Classification and Ranking
- Clustering
- Cryptographic tools for privacy-preserving data mining
- Data and Knowledge Visualization
- Data integration and Interoperability
- Data management for ubiquitous and mobile computing
- Data mining and Information extraction
- Data modelling and Architectures
- Data Provenance
- Data Quality
- Data Security, Privacy and Trust
- Data Streaming
- Dynamic Data Mining
- Heterogeneous Databases
- Inference and disclosure control for data mining
- Integration of Data Warehousing
- Interactive and Online Mining
- Intermittently connected data
- KDD Process and Human Interaction
- Mining Trends, Opportunities or Risks
- OLAP and Data Mining
- Parallel and Distributed Data Mining
- Physical database design and performance evaluation
- Privacy and security when mining outsourced data
- Privacy preserving data aggregation and integration
- Privacy Preserving Data Mining
- Privacy threats due to data mining
- Query processing and optimisation
- Reliability and Robustness Issues
- Scientific Databases
- Security and privacy in spatiotemporal data mining
- Semantic web and ontologies
- Semi-structured data, metadata
- Software Warehouse and Software Mining
- Semantic web and ontologies
- Temporal Data
- Text Mining
- Trust management for data mining
- Web Data and the Internet
- XML and databases, web services
- Data Analysis
- Social and Mathematical statistics
Paper Submission and Publication
All papers should be submitted by an online system for review (at least 3 pages). Every submitted paper will be carefully reviewed by at least three members of the International Program Committee.
Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. Only original papers should be submitted. Authors are advised to follow ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work that has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.
Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail. All the papers should be 6 pages in length.
Time
June 13, 2025 9:00 am - June 14, 2025 5:00 pm(GMT+07:00)
Location
Bangkok, Thailand [Virtual/Online]