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DBPL
2009
Springer
144views Database» more  DBPL 2009»
16 years 22 days 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»
15 years 10 months 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»
15 years 6 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
16 years 6 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»
16 years 6 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