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PVLDB
2008
107views more  PVLDB 2008»
13 years 9 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
PVLDB
2008
128views more  PVLDB 2008»
13 years 9 months ago
Implementing filesystems by tree-aware DBMSs
With the rise of XML, the database community has been challenged by semi-structured data processing. Since the data type behind XML is the tree, state-of-the-art RDBMSs have learn...
Alexander Holupirek, Marc H. Scholl
PVLDB
2008
122views more  PVLDB 2008»
13 years 9 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
PVLDB
2008
146views more  PVLDB 2008»
13 years 9 months ago
Graceful database schema evolution: the PRISM workbench
Supporting graceful schema evolution represents an unsolved problem for traditional information systems that is further exacerbated in web information systems, such as Wikipedia a...
Carlo Curino, Hyun Jin Moon, Carlo Zaniolo
PVLDB
2008
127views more  PVLDB 2008»
13 years 9 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller