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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 soCiety, Republic of Korea
Contact Information
Science & Engineering Research
Support soCiety
- 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)
Publication and Update
- Last date of March, June, September, December
Submission Guidelines
- Every submitted paper will be carefully reviewed (blind review) by at
least three members of the International Program Committee.
- All accepted papers will be published by the web first, and included
in the hard copy journal later.
- Authors should submit paper with about 12 pages ~ 18 pages by using online
systems for review.
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?, 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
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