Knowledge Extraction from Inductive Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03115273" target="_blank" >RIV/68407700:21230/05:03115273 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Knowledge Extraction from Inductive Models
Original language description
The task of critical importance is to extract knowledge from an inductive model, once it was built. There are several techniques that can be used for this purpose. Some of them are well known (e.g. generating of math formula from a model) and some of them are to be introduced in this paper. Knowledge extraction (of the system modelled) by means of visualisation of its behaviour for both regression and classification problems will be described. Two methods telling us how to derive feature ranking from inductive model conclude the paper.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Workshop on Inductive Modeling IWIM-2005
ISBN
966-02-3734-0
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
37-44
Publisher name
Akademie věd Ukrajiny, ústav kybernetiky V.M.Gluškova
Place of publication
Kyjev
Event location
Kyjev
Event date
Jul 11, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—