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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 - Livres de poche

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 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 88, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Interntationaler Versand

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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 - Livres de poche

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 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 88, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Decision making and Feature reduction through Rough Sets - Ayesha Butalia
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Ayesha Butalia:
Decision making and Feature reduction through Rough Sets - Livres de poche

2011, ISBN: 3639328019

ID: 10407751898

[EAN: 9783639328011], Neubuch, [PU: VDM Verlag Mrz 2011], This item is printed on demand - Print on Demand Titel. Neuware - 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. 88 pp. Englisch

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Decision making and Feature reduction through Rough Sets - Ayesha Butalia
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Ayesha Butalia:
Decision making and Feature reduction through Rough Sets - nouveau livre

ISBN: 9783639328011

ID: 525a4b807859322d15c15db408ca3244

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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Decision making and Feature reduction through Rough Sets - Butalia, Ayesha
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Butalia, Ayesha:
Decision making and Feature reduction through Rough Sets - Livres de poche

2011, ISBN: 3639328019

Edition reliée, ID: 10402944

A new approach for feature selection, decision making for the areas of uncertainty - Buch, gebundene Ausgabe, 88 S., Beilagen: Paperback, Erschienen: 2011 VDM Verlag, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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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.

Informations détaillées sur le livre - Decision making and Feature reduction through Rough Sets


EAN (ISBN-13): 9783639328011
ISBN (ISBN-10): 3639328019
Version reliée
Livre de poche
Date de parution: 2011
Editeur: VDM Verlag Mrz 2011

Livre dans la base de données depuis 11.01.2007 15:21:29
Livre trouvé récemment le 21.10.2017 23:00:14
ISBN/EAN: 3639328019

ISBN - Autres types d'écriture:
3-639-32801-9, 978-3-639-32801-1


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