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...
محفوظ في:
| مؤلفون آخرون: | , , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2009. |
| سلاسل: | Studies in Computational Intelligence
169 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| 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 |
جدول المحتويات:
- Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm? Clustering Dynamic Web Usage Data Towards Characterization of the Data Generation Process Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines