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DBPL
2009
Springer
144views Database» more  DBPL 2009»
14 years 2 months ago
General Database Statistics Using Entropy Maximization
Abstract. We propose a framework in which query sizes can be estimated from arbitrary statistical assertions on the data. In its most general form, a statistical assertion states t...
Raghav Kaushik, Christopher Ré, Dan Suciu
ICDE
1994
IEEE
99views Database» more  ICDE 1994»
14 years 6 days ago
Supporting Data Mining of Large Databases by Visual Feedback Queries
In this paper, we describe a query system that provides visual relevance feedback in querying large databases. Our goal is to support the process of data mining by representing as...
Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
GEOINFORMATICA
2008
123views more  GEOINFORMATICA 2008»
13 years 8 months ago
Efficient Implementation Techniques for Topological Predicates on Complex Spatial Objects
Topological relationships like overlap, inside, meet, and disjoint uniquely characterize the relative position between objects in space. For a long time, they have been a focus of...
Reasey Praing, Markus Schneider
WWW
2006
ACM
14 years 8 months ago
FLUX: fuzzy content and structure matching of XML range queries
An XML range query may impose predicates on the numerical or textual contents of the elements and/or their respective path structures. In order to handle content and structure ran...
Hua-Gang Li, S. Alireza Aghili, Divyakant Agrawal,...
EDBT
2006
ACM
169views Database» more  EDBT 2006»
14 years 8 months ago
Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data
Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an ...
Ralf Schenkel, Martin Theobald