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» Rough Sets and Approximation Schemes
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CG
2005
Springer
13 years 9 months ago
Combining SP-Octrees and impostors for the visualisation of multiresolution models
Space-Partition Octree (SP-Octree) is a hierarchical representation scheme for solid modelling. It allows a multiresolution representation of polyhedral objects, and has been succ...
Francisco J. Melero, Pedro Cano, Juan Carlos Torre...
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
14 years 10 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
JANCL
2006
123views more  JANCL 2006»
13 years 9 months ago
Approximate databases: a support tool for approximate reasoning
This paper describes an experimental platform for approximate knowledge databases called the Approximate Knowledge Database (AKDB), based on a semantics inspired by rough sets. The...
Patrick Doherty, Martin Magnusson, Andrzej Szalas
HIS
2004
13 years 11 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
14 years 3 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak