Home > CSC-OpenAccess Library > Database Management > International Journal of Data Engineering (IJDE)
International Journal of Data Engineering (IJDE)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 2180-1274
Published - Bi-Monthly | Established - | Year of Publication - 2018
|
|||
 |
HOME |  |
About IJDE | |
Editorial Board | |
Call For Papers/Editors | |
Current Issue | |
Issues Archive | |
Submission Guidelines | |
Subscribe IJDE | |||||||
ABOUT 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 review open access 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.
The journal aims to publish and promote the research in data and information engineering technologies among researchers and scientists in the field of data engineering algorithms, data engineering models, data integration, data ontologies, data privacy and security, data warehousing, personalized databases and web data engineering and management. The journal welcomes researchers, scientists, information technology professionals, business analysts, academics, managers and industrial experts to exchange their ideas, opinions and interests with respect to data engineering.
LIST OF TOPICS
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
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
