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ICDE
1995
IEEE
98views Database» more  ICDE 1995»
14 years 9 months ago
Relational Database Compression Using Augmented Vector Quantization
Data compression is one way to alleviate the 1/0bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the ...
Wee Keong Ng, Chinya V. Ravishankar
ECOOP
1999
Springer
14 years 11 days ago
An Approach to Classify Semi-structured Objects
Several advanced applications, such as those dealing with the Web, need to handle data whose structure is not known a-priori. Such requirement severely limits the applicability of ...
Elisa Bertino, Giovanna Guerrini, Isabella Merlo, ...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 8 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
RR
2007
Springer
14 years 2 months ago
Efficiently Querying Relational Databases Using OWL and SWRL
For the foreseeable future, most data will continue to be stored in relational databases. To work with these data in ontology-based applications, tools and techniques that bridge t...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...
DEXA
2006
Springer
116views Database» more  DEXA 2006»
13 years 10 months ago
Interpolating and Using Most Likely Trajectories in Moving-Objects Databases
In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesi...
Byunggu Yu, Seon Ho Kim