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ICDT
2001
ACM
124views Database» more  ICDT 2001»
15 years 7 months ago
Why and Where: A Characterization of Data Provenance
Withthe proliferation of database views and curated databases, the issue of data provenance where a piece of data came from and the process by which it arrived in the database is b...
Peter Buneman, Sanjeev Khanna, Wang Chiew Tan
PVLDB
2010
106views more  PVLDB 2010»
15 years 27 days ago
Just-in-time Data Integration in Action
Today’s data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sour...
Martin Hentschel, Laura M. Haas, Renée J. M...
JDWM
2008
97views more  JDWM 2008»
15 years 2 months ago
Seismological Data Warehousing and Mining: A Survey
Earthquake data composes an ever increasing collection of earth science information for post-processing analysis. Earth scientists, local or national administration officers and s...
Gerasimos Marketos, Yannis Theodoridis, Ioannis S....
IQIS
2007
ACM
15 years 4 months ago
On the performance of one-to-many data transformations
Relational Database Systems often support activities like data warehousing, cleaning and integration. All these activities require performing some sort of data transformations. Si...
Paulo J. F. Carreira, Helena Galhardas, Joã...
MMM
2005
Springer
115views Multimedia» more  MMM 2005»
15 years 8 months ago
Interoperability and Multimedia Archives
In distributed computing systems, it is unwise to move data to the point of program code, but instead process data at the point of storage. This concept is even more appropriate t...
Dalen Kambur, Damir Becarevic, Mark Roantree