IJDE 2010 - International Journal of Data Engineering (IJDE)

International Journal of Data Engineering (IJDE)





Data Engineering refers to the use of data engineering techniques and methodologies in the design, development and assessment of computer systems for different computing platforms and application environments. With the proliferation of the different forms of data and its rich semantics, the need for sophisticated techniques has resulted an in-depth content processing, engineering analysis, indexing, learning, mining, searching, management, and retrieval of data.

International Journal of Data Engineering (IJDE) is a peer reviewed scientific journal for sharing and exchanging research and results to problems encountered in today’s data engineering societies. IJDE especially encourage submissions that make efforts (1) to expose practitioners to the most recent research results, tools, and practices in data engineering topics; (2) to raise awareness in the research community of the data engineering problems that arise in practice; (3) to promote the exchange of data & information engineering technologies and experiences among researchers and practitioners; and (4) to identify new issues and directions for future research and development in the data & information engineering fields. IJDE is a peer review journal that targets researchers and practitioners working on data engineering and data management.






Volume: 1 Issue: 2

Paper Submission: May 31, 2010

Author Notification: July 1, 2010

Issue Publication: July 2010




IJDE List of Topics


The realm of International Journal of Data Engineering (IJDE) extends, but not limited, to the following:



Annotation and Data Curation

Approximation and Uncertainty in Databases and Pro

Autonomic Databases

Data Engineering

Data Engineering Algorithms

Data Engineering for Ubiquitous Mobile Distributed

Data Engineering Models

Data Integration

Data Mining and Knowledge Discovery

Data Ontologies

Data Privacy and Security

Data Query Optimization in Databases

Data Streams and Sensor Networks

Data Warehousing

Database Tuning

Database User Interfaces and Information Visualiza

Knowledge Technologies

Metadata Management and Semantic Interoperability

OLAP and Data Grids

Personalized Databases

Query Processing in Databases

Scientific Biomedical and Other Advanced Database

Semantic Web

Social Information Management

Spatial Temporal and Multimedia Data Engineering

Web Data Engineering and Management