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» Treating Quantifiers in Database Semantics
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KDD
1995
ACM
135views Data Mining» more  KDD 1995»
13 years 11 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
14 years 1 months ago
Automated generation of object summaries from relational databases: A novel keyword searching paradigm
— This paper introduces a novel keyword searching paradigm in Relational Databases (DBs), where the result of a search is a ranked set of Object Summaries (OSs). An OS summarizes...
Georgios John Fakas
ICDE
2007
IEEE
106views Database» more  ICDE 2007»
14 years 1 months ago
Mining Trajectory Databases via a Suite of Distance Operators
With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...
Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, G...
P2PKM
2004
13 years 8 months ago
RDFGrowth, a P2P annotation exchange algorithm for scalable Semantic Web applications
We present RDFGrowth, an algorithm that addresses a specific yet important scenario: large scale, end user targeted, metadata exchange P2P applications. In this scenario, peers per...
Giovanni Tummarello, Christian Morbidoni, Joackin ...
SIGMOD
2003
ACM
88views Database» more  SIGMOD 2003»
14 years 7 months ago
Mapping Data in Peer-to-Peer Systems: Semantics and Algorithmic Issues
We consider the problem of mapping data in peer-topeer data-sharing systems. Such systems often rely on the use of mapping tables listing pairs of corresponding values to search f...
Anastasios Kementsietsidis, Marcelo Arenas, Ren&ea...