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» Detecting critical regions in multidimensional data sets
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CMA
2011
12 years 12 months ago
Detecting critical regions in multidimensional data sets
We propose a new approach, based on the Conley index theory, for the detection and classification of critical regions in multidimensional data sets. The use of homology groups ma...
Madjid Allili, David Corriveau, Sara Deriviè...
VISSYM
2003
13 years 6 months ago
Detecting Critical Regions in Scalar Fields
Trivariate data is commonly visualized using isosurfaces or direct volume rendering. When exploring scalar fields by isosurface extraction it is often difficult to choose isoval...
Gunther H. Weber, Gerik Scheuermann, Bernd Hamann
VDA
2010
166views Visualization» more  VDA 2010»
13 years 2 months ago
Critical region analysis of scalar fields in arbitrary dimensions
The exploration of multidimensional scalar fields is commonly based on the knowledge of the topology of their isosurfaces. The latter is established through the analysis of critic...
Madjid Allili, Marc Ethier, Tomasz Kaczynski
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 5 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
CGA
2005
13 years 4 months ago
Designing a Visualization Framework for Multidimensional Data
visualization to abstract data sets like network intrusion detection, recommender systems, and database query results. Although display algorithms are a critical component in the v...
Brent M. Dennis, Sarat Kocherlakota, Amit P. Sawan...