EGPGV
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a new interactive parallel method for direct visualization of large particle datasets. Based on a parallel rendering cluster, a frame rate of 9 frames-per-seco...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
SC
2004
ACM
13 years 10 months ago
2004
ACM
Large datasets, on the order of GB and TB, are increasingly common as abundant computational resources allow practitioners to collect, produce and store data at higher rates. As d...
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
INFOVIS
2005
IEEE
13 years 10 months ago
2005
IEEE
We introduce Tukey and Tukey scagnostics and develop graphtheoretic methods for implementing their procedure on large datasets. CR Categories: H.5.2 [User Interfaces]: Graphical U...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
— A Cascaded model is introduced for mining large datasets using Genetic Programming without recourse to specialist hardware. Such an algorithm satisfies the seeming conflictin...
IPPS
2006
IEEE
13 years 10 months ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
ICPADS
2006
IEEE
13 years 10 months ago
2006
IEEE
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
CCECE
2006
IEEE
13 years 10 months ago
2006
IEEE
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as Maximum parsimony (MP) and Maximum likelihood (ML). Conventional MP heuristics for produc...