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ICDE
2012
IEEE
203views Database» more  ICDE 2012»
7 years 20 days ago
Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints
—The importance of introducing distance constraints to data dependencies, such as differential dependencies (DDs) [28], has recently been recognized. The metric distance constrai...
Shaoxu Song, Lei Chen 0002, Hong Cheng
IVS
2010
83views more  IVS 2010»
8 years 8 months ago
Variable binned scatter plots
The scatter plot is a well-known method of visualizing pairs of two-dimensional continuous variables. Multidimensional data can be depicted in a scatter plot matrix. They are intu...
Ming C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Da...
CORR
2010
Springer
224views Education» more  CORR 2010»
8 years 10 months ago
A Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content Distribution
In P2P systems, large volumes of data are declustered naturally across a large number of peers. But it is very difficult to control the initial data distribution because every use...
S. Ayyasamy, S. N. Sivanandam
HPDC
2010
IEEE
8 years 11 months ago
Biocompute: towards a collaborative workspace for data intensive bio-science
The explosion of data in the biological community demands the development of more scalable and flexible portals for bioinformatic computation. To address this need, we put forth c...
Rory Carmichael, Patrick Braga-Henebry, Douglas Th...
NIPS
2003
8 years 11 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
ESANN
2003
8 years 11 months ago
Robust Topology Representing Networks
Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...
Michaël Aupetit
SC
1995
ACM
9 years 1 months ago
A Novel Approach Towards Automatic Data Distribution
: Data distribution is one of the key aspects that a parallelizing compiler for a distributed memory architecture should consider, in order to get efficiency from the system. The ...
Jordi Garcia, Eduard Ayguadé, Jesús ...
WER
2000
Springer
9 years 1 months ago
O Uso do Framework NFR no Projeto de Banco de Dados
Distributed database design is a complex process that involves a set of distinct aspects for the accomplishment of an adequate data distribution (Buretta 1997). Many of these aspec...
Márcia Santos, Maria Lencastre, Jaelson Bre...
SIGMOD
1998
ACM
233views Database» more  SIGMOD 1998»
9 years 2 months ago
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopul...
ICPPW
2002
IEEE
9 years 3 months ago
Data Distribution Schemes of Sparse Arrays on Distributed Memory Multicomputers
A data distribution scheme of sparse arrays on a distributed memory multicomputer, in general, is composed of three phases, data partition, data distribution, and data compression...
Chun-Yuan Lin, Yeh-Ching Chung, Jen-Shiuh Liu
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