Innovative applications in data mining

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually ba...

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Autres auteurs: Kacprzyk, Janusz, 1947- (Directeur de la publication), Mourelle, Luiza de Macedo (Directeur de la publication), Nedjah, Nadia (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2009.
Collection:Studies in Computational Intelligence 169
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Note: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Innovative applications in data mining, Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk (eds.), Berlin, Springer, 2009, 1 vol. (XI-122 p.), Studies in computational intelligence, 978-3-540-88044-8
• Innovative Applications in Data Mining, Texte imprimé, 9783642099762
• Innovative Applications in Data Mining, Texte imprimé, 9783540881636
• Innovative applications in data mining, Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk (eds.), Berlin, Springer, 2009, 1 vol. (XI-122 p.), Studies in computational intelligence, 978-3-540-88044-8
Description
Résumé:Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540880455
ISSN:1860-9503
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017