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» A Planner for Exploratory Data Analysis
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INFOVIS
2000
IEEE
14 years 9 days ago
Polaris: A System for Query, Analysis and Visualization of Multi-Dimensional Relational Databases
In the last several years, large multi-dimensional databases have become common in a variety of applications such as data warehousing and scientific computing. Analysis and explor...
Chris Stolte, Pat Hanrahan
IDEAL
2009
Springer
14 years 2 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
BMCBI
2010
171views more  BMCBI 2010»
13 years 8 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
DATAMINE
2006
139views more  DATAMINE 2006»
13 years 8 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
SIGMOD
2005
ACM
153views Database» more  SIGMOD 2005»
14 years 8 months ago
Multiple Aggregations Over Data Streams
Monitoring aggregates on IP traffic data streams is a compelling application for data stream management systems. The need for exploratory IP traffic data analysis naturally leads ...
Rui Zhang 0003, Nick Koudas, Beng Chin Ooi, Divesh...