Foundations of computational intelligence. Volume 6, Data mining
Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully...
Guardat en:
| Altres autors: | , , , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2009. |
| Col·lecció: | Studies in Computational Intelligence
206 |
| Accés en línia: | 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: | • Foundations of computational intelligence, Volume 6, Data mining, Ajith Abraham, Aboul-Ella Hassanien, André Ponce de Leon F. de Carvalho [et al.], Berlin, Springer, 2009, Studies in computational intelligence, 978-3-642-01090-3 • Foundations of Computational Intelligence, Texte imprimé, 9783642010927 • Foundations of Computational Intelligence, Texte imprimé, 9783642101670 • Foundations of computational intelligence, Volume 6, Data mining, Ajith Abraham, Aboul-Ella Hassanien, André Ponce de Leon F. de Carvalho [et al.], Berlin, Springer, 2009, Studies in computational intelligence, 978-3-642-01090-3 |
Taula de continguts:
- Data Click Streams and Temporal Data Mining Mining and Analysis of Clickstream Patterns An Overview on Mining Data Streams Data Stream Mining Using Granularity-Based Approach Time Granularity in Temporal Data Mining Mining User Preference Model from Utterances Text and Rule Mining Text Summarization: An Old Challenge and New Approaches From Faceted Classification to Knowledge Discovery of Semi-structured Text Records Multi-value Association Patterns and Data Mining Clustering Time Series Data: An Evolutionary Approach Support Vector Clustering: From Local Constraint to Global Stability New Algorithms for Generation Decision Trees Ant-Miner and Its Modifications Data Mining Applications Automated Incremental Building of Weighted Semantic Web Repository A Data Mining Approach for Adaptive Path Planning on Large Road Networks Linear Models for Visual Data Mining in Medical Images A Framework for Composing Knowledge Discovery Workflows in Grids Distributed Data Clustering: A Comparative Analysis