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Butalia, Ayesha:

Decision making and Feature reduction through Rough Sets - A new approach for feature selection, decision making for the areas of uncertainty - Livro de bolso

2011, ISBN: 9783639328011

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], The issues of Real World are Very large data sets, Mixed types of data, Uncertainty, Incompleteness, Data change, Use of backgr… mais…

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Butalia, Ayesha:

Decision making and Feature reduction through Rough Sets - A new approach for feature selection, decision making for the areas of uncertainty - Livro de bolso

2011, ISBN: 9783639328011

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], The issues of Real World are Very large data sets, Mixed types of data, Uncertainty, Incompleteness, Data change, Use of backgr… mais…

  - Custos de envio:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Syndikat Buchdienst
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Ayesha Butalia:
Decision making and Feature reduction through Rough Sets - novo libro

ISBN: 9783639328011

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 applicat… mais…

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Decision making and Feature reduction through Rough Sets
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Decision making and Feature reduction through Rough Sets - novo libro

ISBN: 9783639328011

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 applicat… mais…

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Decision making and Feature reduction through Rough Sets A new approach for feature selection, decision making for the areas of uncertainty - Butalia, Ayesha
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Butalia, Ayesha:
Decision making and Feature reduction through Rough Sets A new approach for feature selection, decision making for the areas of uncertainty - novo libro

2011, ISBN: 3639328019

Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:VDM Verlag]

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Decision making and Feature reduction through Rough Sets

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.

Dados detalhados do livro - Decision making and Feature reduction through Rough Sets


EAN (ISBN-13): 9783639328011
ISBN (ISBN-10): 3639328019
Livro de capa dura
Livro de bolso
Ano de publicação: 2011
Editor/Editora: VDM Verlag Mrz 2011

Livro na base de dados desde 2007-01-11T14:21:29+00:00 (Lisbon)
Página de detalhes modificada pela última vez em 2019-09-23T11:19:42+01:00 (Lisbon)
Número ISBN/EAN: 9783639328011

Número ISBN - Ortografia alternativa:
3-639-32801-9, 978-3-639-32801-1
Ortografia alternativa e termos de pesquisa relacionados:
Título do livro: making, areas


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