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» Mining Very Large Databases
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CIKM
2008
Springer
13 years 12 months ago
SQL extension for exploring multiple tables
The standard SQL assumes that the users are aware of all tables and their schemas to write queries. This assumption may be valid when the users deal with a relatively small number...
Sung Jin Kim, Junghoo John Cho
EDBT
2008
ACM
106views Database» more  EDBT 2008»
14 years 10 months ago
Highly scalable trip grouping for large-scale collective transportation systems
Transportation?related problems, like road congestion, parking, and pollution, are increasing in most cities. In order to reduce traffic, recent work has proposed methods for vehi...
Gyözö Gidófalvi, Torben Bach Pede...
VLDB
1999
ACM
147views Database» more  VLDB 1999»
14 years 2 months ago
Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications
A data-driven approach can be fruitfully used in the speci cation and automatic generation of data-intensive Web applications, i.e., applications which make large amounts of data ...
Stefano Ceri, Piero Fraternali, Stefano Paraboschi
BMCBI
2008
143views more  BMCBI 2008»
13 years 10 months ago
Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
Background: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, ...
Shibu Yooseph, Weizhong Li, Granger G. Sutton
CIKM
1999
Springer
14 years 2 months ago
Requirement-Based Data Cube Schema Design
On-line analytical processing (OLAP) requires e cient processing of complex decision support queries over very large databases. It is well accepted that pre-computed data cubes ca...
David Wai-Lok Cheung, Bo Zhou, Ben Kao, Hongjun Lu...