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» Modeling skew in data streams
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ICPR
2006
IEEE
14 years 8 months ago
DTM Generation from LIDAR Data using Skewness Balancing
LIght Detection And Ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital...
David C. Mason, Hong Wei, Marc Bartels
ICDE
2006
IEEE
210views Database» more  ICDE 2006»
14 years 8 months ago
Fractal Modeling of IP Network Traffic at Streaming Speeds
This paper describes how to fit fractal models, online, on IP traffic data streams. Our approach relies on maintaining a sketch of the data stream and fitting straight lines: it y...
Flip Korn, S. Muthukrishnan, Yihua Wu
BMEI
2009
IEEE
13 years 8 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 7 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
EAGC
2004
Springer
14 years 25 days ago
Using Global Snapshots to Access Data Streams on the Grid
Data streams are a prevalent and growing source of timely data. As streams become more prevalent, richer interrogation of the contents of the streams are required. Value of the con...
Beth Plale