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Kniha Decision making and Feature reduction through Rough Sets Ayesha Butalia

Decision making and Feature reduction through Rough Sets

Autor: Ayesha Butalia
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: VDM Verlag
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 174 Kč
The issues of Real World are Very large data sets, Mixed types of data, Uncertainty, Incompleteness,...

Informace o knize

Autor
Ayesha Butalia
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2011
Stránek
88
EAN
9783639328011
ISBN
3639328019
Enbook ID
06839539
Vydavatel
VDM Verlag
Hmotnost
141
Rozměry
152 x 229 x 5

Kompletní popis

The issues of Real World are Very large data sets, Mixed types of data, Uncertainty, Incompleteness, Data change, Use of background knowledge etc. Lot of knowledge related to the application can be enerated through these large data sets. Rough set is the methodology which can be used to deduce rules from these data sets. It offers mathematical tools to discover patterns hidden in data and hence used in the field of data mining. Rough Sets does not require any preliminary information as Fuzzy sets require membership values or probability is required in statistics. Hence this is its specialty. Two novel algorithms to find optimal Reducts of condition attributes based on the relative attribute dependency, out of which the first algorithms gives simple Reduct whereas the second one gives the Reduct with minimum attributes, and highlights on the case study of mushroom which consists of twenty two attributes depending on which the decision is taken whether the mushroom plant is edible or poisonous.

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