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126206950
Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications (Mathematics and Visualization)
Item #:
126206950
ALL 10671
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Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains.
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- Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. .The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on Topological Methods in Data Analysis and Visualization, held 2009 in Snowbird, Utah, US. The 2009 TopoInVis workshop follows the two successful workshops in 2005 (Slovakia) and 2007 (Germany).
| Publisher | Springer |
| Publication date | November 23, 2010 |
| Edition | 2011th |
| Language | English |
| File size | 10.1 MB |
| Enhanced typesetting | Not Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 268 pages |
| Format | Print Replica |
| ISBN-13 | 978-3642150142 |
| Page Flip | Not Enabled |
| Item Weight | 0.4 lbs (180 grams) |
Product Description
Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications (Mathematics and Visualization)
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Features & Benefits
- Explore cutting-edge topology-based methods for data analysis.
- Gain insights from the best researchers in the field.
- Learn techniques applicable across biology, physics, engineering, and medicine.
- Understand challenges like time-dependent data management and noise characterization.
- Access 20 peer-reviewed papers from a prestigious workshop.
- Stay updated with the latest results and discussions in data visualization.
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