EXEMPLE
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 backgr… Plus…
[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<
| | booklooker.deSyndikat Buchdienst Frais d'envoiVersandkostenfrei, Versand nach Deutschland (EUR 0.00) Details... |
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
EXEMPLE
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 backgr… Plus…
[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<
| | booklooker.deSyndikat Buchdienst Frais d'envoiVersandkostenfrei, Versand nach Deutschland. (EUR 0.00) Details... |
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
EXEMPLE
Ayesha Butalia:Decision making and Feature reduction through Rough Sets
- nouveau livre 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… Plus…
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]<
| | Dodax.deNr. 57cac7389563510946d7060c Frais d'envoiVersandkosten: 0.0 EUR, Lieferzeit: 6 Tage, DE. (EUR 0.00) Details... |
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Decision making and Feature reduction through Rough Sets
- nouveau livreISBN: 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… Plus…
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]<
| | Dodax.deNr. Frais d'envoi, Lieferzeit: 11 Tage, DE. (EUR 0.00) Details... |
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Butalia, Ayesha:Decision making and Feature reduction through Rough Sets A new approach for feature selection, decision making for the areas of uncertainty
- nouveau livre 2011, ISBN: 3639328019
Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:VDM Verlag]
| | Achtung-Buecher.deMARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien Frais d'envoiVersandkostenfrei innerhalb der BRD. (EUR 0.00) Details... |
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
