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VDB
1998
169views Database» more  VDB 1998»
14 years 11 months ago
What You See is What You Store: Database-Driven Interfaces
Any graphical user interface (GUI) requires large amounts of complex metadata for the layout of windows and menus, their style and behavior, their bindings, etc. Designing, debugg...
Jens Thamm, Lutz Michael Wegner
SSD
2005
Springer
108views Database» more  SSD 2005»
15 years 3 months ago
On Trip Planning Queries in Spatial Databases
In this paper we discuss a new type of query in Spatial Databases, called the Trip Planning Query (TPQ). Given a set of points of interest P in space, where each point belongs to ...
Feifei Li, Dihan Cheng, Marios Hadjieleftheriou, G...
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
15 years 5 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
14 years 8 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
108
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ISCI
2007
141views more  ISCI 2007»
14 years 10 months ago
A performance comparison of distance-based query algorithms using R-trees in spatial databases
Efficient processing of distance-based queries (DBQs) is of great importance in spatial databases due to the wide area of applications that may address such queries. The most repr...
Antonio Corral, Jesús Manuel Almendros-Jim&...