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» Anytime Exploratory Data Analysis for Massive Data Sets
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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
13 years 8 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
14 years 4 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
AVI
2004
13 years 8 months ago
CircleView: a new approach for visualizing time-related multidimensional data sets
This paper introduces a new approach for visualizing multidimensional time-referenced data sets, called Circle View. The Circle View technique is a combination of hierarchical vis...
Daniel A. Keim, Jörn Schneidewind, Mike Sips
KI
2007
Springer
14 years 1 months ago
Extracting Patterns of Individual Movement Behaviour from a Massive Collection of Tracked Positions
A EU-funded project GeoPKDD develops methods and tools for analysis of massive collections of movement data, which describe changes of spatial positions of discrete entities. Withi...
Gennady L. Andrienko, Natalia V. Andrienko
IPPS
2009
IEEE
14 years 1 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader