Sciweavers

ISVC
2010
Springer
13 years 3 months ago
Using R-Trees for Interactive Visualization of Large Multidimensional Datasets
Large, multidimensional datasets are difficult to visualize and analyze. Visualization interfaces are constrained in resolution and dimension, so cluttering and problems of project...
Alfredo Giménez, René Rosenbaum, Mar...
AVI
2004
13 years 6 months ago
Interactive data summarization: an example application
Summarizing large multidimensional datasets is a challenging task, often requiring extensive investigation by a user to identify overall trends and important exceptions to them. W...
Neal Lesh, Michael Mitzenmacher
IPPS
1996
IEEE
13 years 8 months ago
Study of Scalable Declustering Algorithms for Parallel Grid Files
Efficient storage and retrieval of large multidimensional datasets is an important concernfor large-scale scientific computations such as long-running time-dependent simulations w...
Bongki Moon, Anurag Acharya, Joel H. Saltz
CLUSTER
2006
IEEE
13 years 10 months ago
An Iteration Aware Multidimensional Data Distribution Prototype for Computing Clusters
Disk and network latency must be taken into account when applying parallel computing to large multidimensional datasets because they can hinder performance by reducing the rate at...
Baoqiang Yan, Philip J. Rhodes
SIGMOD
2005
ACM
116views Database» more  SIGMOD 2005»
14 years 4 months ago
ProDA: a suite of web-services for progressive data analysis
Online Scientific Applications (OSA) require statistical analysis of large multidimensional datasets. Towards this end, we have designed and developed a data storage and retrieval...
Mehrdad Jahangiri, Cyrus Shahabi