Representación de datos de conjuntos aproximados mediante diagramas de decisión binarios.
Alex Muir; Ivo Düntsch; Günther Gediga
RACSAM (2004)
- Volume: 98, Issue: 1, page 197-211
- ISSN: 1578-7303
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topMuir, Alex, Düntsch, Ivo, and Gediga, Günther. "Representación de datos de conjuntos aproximados mediante diagramas de decisión binarios.." RACSAM 98.1 (2004): 197-211. <http://eudml.org/doc/41047>.
@article{Muir2004,
abstract = {A new information system representation, which inherently represents indiscernibility is presented. The basic structure of this representation is a Binary Decision Diagram. We offer testing results for converting large data sets into a Binary Decision Diagram Information System representation, and show how indiscernibility can be efficiently determined. Furthermore, a Binary Decision Diagram is used in place of a relative discernibility matrix to allow for more efficient determination of the discernibility function than previous methods. The current focus is to build an implementation that aids in understanding how binary decision diagrams can improve Rough Set Data Analysis methods.},
author = {Muir, Alex, Düntsch, Ivo, Gediga, Günther},
journal = {RACSAM},
keywords = {rough set data analysis methods},
language = {eng},
number = {1},
pages = {197-211},
title = {Representación de datos de conjuntos aproximados mediante diagramas de decisión binarios.},
url = {http://eudml.org/doc/41047},
volume = {98},
year = {2004},
}
TY - JOUR
AU - Muir, Alex
AU - Düntsch, Ivo
AU - Gediga, Günther
TI - Representación de datos de conjuntos aproximados mediante diagramas de decisión binarios.
JO - RACSAM
PY - 2004
VL - 98
IS - 1
SP - 197
EP - 211
AB - A new information system representation, which inherently represents indiscernibility is presented. The basic structure of this representation is a Binary Decision Diagram. We offer testing results for converting large data sets into a Binary Decision Diagram Information System representation, and show how indiscernibility can be efficiently determined. Furthermore, a Binary Decision Diagram is used in place of a relative discernibility matrix to allow for more efficient determination of the discernibility function than previous methods. The current focus is to build an implementation that aids in understanding how binary decision diagrams can improve Rough Set Data Analysis methods.
LA - eng
KW - rough set data analysis methods
UR - http://eudml.org/doc/41047
ER -
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