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» Querying Semi-Structured Data
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ICPR
2008
IEEE
16 years 8 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
ADMA
2006
Springer
101views Data Mining» more  ADMA 2006»
16 years 23 days ago
ZED: Explaining Temporal Variations in Query Volume
We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world tha...
Maojin Jiang, Shlomo Argamon, Abdur Chowdhury, Kus...
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
16 years 11 days ago
Best Effort Query Processing in DHT-based P2P Systems
Structured P2P systems in the form of distributed hash tables (DHT) are a promising approach for building massively distributed data management platforms. However, for many applic...
Philipp Rösch, Kai-Uwe Sattler, Christian von...
GD
2004
Springer
16 years 4 days ago
QUOGGLES: Query On Graphs - A Graphical Largely Extensible System
We describe the query and data processing language QUOGGLES which is particularly designed for the application on graphs. It uses a pipeline-like technique known from command line ...
Paul Holleis, Franz-Josef Brandenburg
IV
2003
IEEE
99views Visualization» more  IV 2003»
16 years 1 days ago
Visual Representation of Database Queries using Structural Similarity
It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be de...
Dennis P. Groth