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ICDE
2010
IEEE
295views Database» more  ICDE 2010»
15 years 6 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
SSDBM
2003
IEEE
105views Database» more  SSDBM 2003»
15 years 5 months ago
Using Bitmap Index for Interactive Exploration of Large Datasets
Many scientific applications generate large spatiotemporal datasets. A common way of exploring these datasets is to identify and track regions of interest. Usually these regions ...
Kesheng Wu, Wendy S. Koegler, Jacqueline Chen, Ari...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 4 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
15 years 9 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
TROB
2008
228views more  TROB 2008»
14 years 11 months ago
Large-Scale 6-DOF SLAM With Stereo-in-Hand
In this paper, we describe a system that can carry4 out simultaneous localization and mapping (SLAM) in large in-5 door and outdoor environments using a stereo pair moving with 66 ...
Lina María Paz, Pedro Pinies, Juan D. Tard&...