Difference between revisions of "ICDE 2009"

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{{Event
 
{{Event
 +
| Acronym = ICDE 2009
 +
| Title = 25th International Conference on Data Engineering
 +
| Type = Conference
 +
| Series = ICDE
 
  | Field = Database
 
  | Field = Database
 +
| Homepage = i.cs.hku.hk/icde2009
 +
| Start date = Mar 29, 2009
 +
| End date =  Apr 4, 2009
 +
| City= Shanghai
 +
| State =
 +
| Country =  China
 
  | Abstract deadline = Jun 20, 2008
 
  | Abstract deadline = Jun 20, 2008
 
  | Submission deadline = Jun 27, 2008
 
  | Submission deadline = Jun 27, 2008
 
  | Notification = Sep 26, 2008
 
  | Notification = Sep 26, 2008
  | Camera ready =
+
  | Camera ready =  
| Acronym= ICDE 2009
 
| End date= 2009/04/04
 
| Series= ICDE
 
| Type  = Conference
 
| Country= CN
 
| State = CN/SH
 
| City  = CN/SH/Shanghai
 
| Homepage= i.cs.hku.hk/icde2009
 
| Start date= 2009/03/29
 
| Title = 25th International Conference on Data Engineering
 
 
}}
 
}}
  

Revision as of 23:33, 24 October 2021


Event Rating

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List of all ratings can be found at ICDE 2009/rating

ICDE 2009
25th International Conference on Data Engineering
Event in series ICDE
Dates Mar 29, 2009 (iCal) - Apr 4, 2009
Homepage: i.cs.hku.hk/icde2009
Location
Location: Shanghai, China
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Important dates
Abstracts: Jun 20, 2008
Submissions: Jun 27, 2008
Notification: Sep 26, 2008
Table of Contents


Data Engineering refers to the use of engineering techniques and methodologies in the design, development and assessment of information systems for different computing platforms and application environments. The 25th International Conference on Data Engineering provides a premier forum for sharing and exchanging research and engineering results to problems encountered in today's information society.

Authors are invited to submit papers in all areas of data and information engineering, including but not limited to those listed in the table below. We especially encourage submissions that make efforts (1) to expose practitioners to the most recent research results, tools, and practices that can contribute to their everyday practical problems and to provide them with an early opportunity to evaluate them; (2) to raise awareness in the research community of the difficult data & information 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 field.

Awards:

An award will be given to the best paper submitted to the conference. A separate award will be given to the best student paper. Papers eligible for this award must have a (graduate or undergraduate) student listed as the first and contact author, and the majority of the authors must be students. Such submissions must be marked as student papers at the time of submission.