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» Data at work: supporting sharing in science and engineering
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CLEANDB
2006
ACM
142views Database» more  CLEANDB 2006»
13 years 10 months ago
QUEST: QUery-driven Exploration of Semistructured Data with ConflicTs and Partial Knowledge
An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we pre...
Yan Qi 0002, K. Selçuk Candan, Maria Luisa ...
DATE
2004
IEEE
173views Hardware» more  DATE 2004»
14 years 16 days ago
Supporting Cache Coherence in Heterogeneous Multiprocessor Systems
In embedded system-on-a-chip (SoC) applications, the need for integrating heterogeneous processors in a single chip is increasing. An important issue in integrating heterogeneous ...
Taeweon Suh, Douglas M. Blough, Hsien-Hsin S. Lee
EDBT
2008
ACM
171views Database» more  EDBT 2008»
14 years 9 months ago
Replay-based approaches to revision processing in stream query engines
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
Anurag Maskey, Mitch Cherniack
ECIR
2009
Springer
14 years 6 months ago
Synchronous Collaborative Information Retrieval: Techniques and Evaluation
Synchronous Collaborative Information Retrieval refers to systems that support multiple users searching together at the same time in order to satisfy a shared information need. To ...
Colum Foley, Alan F. Smeaton
FECS
2006
152views Education» more  FECS 2006»
13 years 10 months ago
Lessons Learned From Different Types of Projects in Software Engineering
Educators teaching software engineering face a large problem when trying to assign "real world" projects. Should the instructors make up "real world" projects ...
Jennifer A. Polack-Wahl