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» Anytime Exploratory Data Analysis for Massive Data Sets
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VRST
2006
ACM
13 years 11 months ago
A reprocessing tool for quantitative data analysis in a virtual environment
This paper presents an approach to help speed up and unify the exploration and analysis of time-dependent, volumetric data sets by easily incorporating new qualitative and quantit...
Eric J. Griffith, Michal Koutek, Frits H. Post, T....
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
13 years 7 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
CHI
2008
ACM
14 years 6 months ago
Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of thes...
Adam Perer, Ben Shneiderman
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 4 months ago
Viewpoints: A high-performance high-dimensional exploratory data analysis tool
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
Paul R. Gazis, C. Levit, Michael J. Way
PVLDB
2008
182views more  PVLDB 2008»
13 years 5 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...