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SIGMOD
2006
ACM
127views Database» more  SIGMOD 2006»
14 years 8 months ago
Efficient reverse k-nearest neighbor search in arbitrary metric spaces
The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, is a generalization of the...
Elke Achtert, Christian Böhm, Peer Kröge...
SIGMOD
2008
ACM
122views Database» more  SIGMOD 2008»
14 years 8 months ago
Building query optimizers for information extraction: the SQoUT project
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
Alpa Jain, Panagiotis G. Ipeirotis, Luis Gravano
ICDE
2009
IEEE
160views Database» more  ICDE 2009»
13 years 5 months ago
Perm: Processing Provenance and Data on the Same Data Model through Query Rewriting
Data provenance is information that describes how a given data item was produced. The provenance includes source and intermediate data as well as the transformations involved in pr...
Boris Glavic, Gustavo Alonso
ADBIS
2004
Springer
122views Database» more  ADBIS 2004»
14 years 1 months ago
Implementing a Query Language for Context-Dependent Semistructured Data
Abstract. In today’s global environment, the structure and presentation of information may depend on the underlying context of the user. To address this issue, in previous work w...
Yannis Stavrakas, Kostis Pristouris, Antonis Efand...
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
13 years 12 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny