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CALL FOR PAPER
Journal: International Journal of Data Engineering (IJDE)
Volume: 1 Issue: 5
ISSN: 2180-1274
URL: http://www.cscjournals.org/csc/description.php?JCode=IJDE
Important Dates
Paper Submission: November 30, 2010
Author Notification: January 01, 2011
Issue Publication: January / February
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 reviewed scientific journal for sharing and exchanging research and results to problems encountered in todays 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.
To build its International reputation, we are disseminating the publication information through Google Books, Google Scholar, Directory of Open Access Journals (DOAJ), Open J Gate, ScientificCommons, Docstoc and many more. Our International Editors are working on establishing ISI listing and a good impact factor for IJDE.
IJDE List of Topics
The realm of International Journal of Data Engineering (IJDE) extends, but not limited, to the following:
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
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