Quality measures in data mining
Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting...
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| Autore principale: | |
|---|---|
| Altri autori: | |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2007. |
| Serie: | Studies in Computational Intelligence
43 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Quality measures in data mining, Fabrice Guillet, Howard J. Hamilton (eds.), Berlin, Springer, 2007, 1 vol. (xiv-313 p.), Studies in computational intelligence, 978-3-540-44911-9 • Quality Measures in Data Mining, Texte imprimé, 9783540830603 • Quality Measures in Data Mining, Texte imprimé, 9783642079528 • Quality measures in data mining, Fabrice Guillet, Howard J. Hamilton (eds.), Berlin, Springer, 2007, 1 vol. (xiv-313 p.), Studies in computational intelligence, 978-3-540-44911-9 |