International Journal of  Database Theory and Application
Editor-in-Chief of the IJDTA Journal

Tai-hoon Kim,
Hannam University, Korea

Jianhua Ma,
Hosei University, Japan


Associate Editor

Yanchun Zhang,
Victoria University, Australia


General Information of IJDTA

Bibliographic Information
  • ISSN: 2005-4270
  • Publisher: SERSC

    Science & Engineering Research
    Support Center, Republic of Korea

Contact Information

Science & Engineering Research
Support Center
  • Head Office: Room 402, Man-Je Bld., 449-8, Ojung-Dong, Daedoek-Gu, Daejon, Korea
  • Phone no.: +82-42-624-2265
  • Fax no.: +82-42-624-2205
  • Email: ijdta@sersc.org
Submission Information

Charge Information
(All taxes are included)
  • Printing/Processing Charges: US$330

Journal Aims

Our Journal provides a chance for academic and industry professionals to discuss recent progress in the area of database theory and application.


Journal Topics

IJDTA aims to facilitate and support research related to database theory and application technology and the applications.

The topics covered by IJDTA include the following:-

Basic Topics:


  • 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 spatio-temporal data mining
  • Semantic web and ontologies
  • Semi-structured data, metadata
  • Software Warehouse and Software Mining
  • 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
  • Others






Advisory/Editorial Board

  • Sukumar Nandi, Indian Institute of Technology Guwahat, India
  • Keun Ho Ryu, Chungbuk National University, Korea
  • L M Patnaik, Indian Institute of Science , India
  • Tatsuya Akutsu, Kyoto University, Japan
  • Jun Hong, Queen's University Belfast, UK
  • Rosana Cheh�n, CONICET-Argentine, Argentina
  • Anne James, Coventry University, UK
  • Lachlan McKinnon, University of Abertay Dundee, UK
  • Anne James, Coventry University, UK
  • Veselka Boeva, Technical University of Plovdiv, Bulgaria
  • Alan Sexton, University of Birmingham, UK
  • Jian Lu, Nanjing University,China


Editorial Secretary