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» Joining Interval Data in Relational Databases
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EDBT
2010
ACM
188views Database» more  EDBT 2010»
14 years 2 months ago
Subsumption and complementation as data fusion operators
The goal of data fusion is to combine several representations of one real world object into a single, consistent representation, e.g., in data integration. A very popular operator...
Jens Bleiholder, Sascha Szott, Melanie Herschel, F...
SIGMOD
1996
ACM
154views Database» more  SIGMOD 1996»
13 years 11 months ago
METU Interoperable Database System
METU INteroperable Database System (MIND) is a multidatabase system that aims at achieving interoperability among heterogeneous, federated DBMSs. MIND architecture is based on OMG...
Asuman Dogac, Ugur Halici, Ebru Kilic, Gökhan...
DAWAK
2005
Springer
14 years 1 months ago
Efficient Compression of Text Attributes of Data Warehouse Dimensions
This paper proposes the compression of data in Relational Database Management Systems (RDBMS) using existing text compression algorithms. Although the technique proposed is general...
Jorge Vieira, Jorge Bernardino, Henrique Madeira
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 9 months ago
Reasoning About Approximate Match Query Results
Join techniques deploying approximate match predicates are fundamental data cleaning operations. A variety of predicates have been utilized to quantify approximate match in such o...
Sudipto Guha, Nick Koudas, Divesh Srivastava, Xiao...
VLDB
2007
ACM
187views Database» more  VLDB 2007»
14 years 7 months ago
Secure Data Outsourcing
The networked and increasingly ubiquitous nature of today's data management services mandates assurances to detect and deter malicious or faulty behavior. This is particularly...
Radu Sion