Learning classifier systems in data mining
Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings...
שמור ב:
| מחברים אחרים: | , , |
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| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| מהדורה: | 1st ed. 2008. |
| סדרה: | Studies in Computational Intelligence
125 |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning classifier systems in data mining, with 53 tables, Larry Bull, Ester Bernado-Mansilla , John Holmes (Eds.), Berlin, Springer, 2008, 1 vol (IX-230p.), Studies in computational intelligence, 978-3-540-78978-9 • Learning Classifier Systems in Data Mining, Texte imprimé, 9783642097751 • Learning Classifier Systems in Data Mining, Texte imprimé, 9783540871651 • Learning classifier systems in data mining, with 53 tables, Larry Bull, Ester Bernado-Mansilla , John Holmes (Eds.), Berlin, Springer, 2008, 1 vol (IX-230p.), Studies in computational intelligence, 978-3-540-78978-9 |
| סיכום: | Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains. The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery |
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| תאור פריט: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783540789796 |
| ISSN: | 1860-9503 |
| גישה: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |