Foundations and advances in data mining
With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature Cham : Cham : |
| Έκδοση: | 1st ed. 2005. |
| Σειρά: | Studies in Fuzziness and Soft Computing
180 |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Foundations and Advances in Data Mining, Texte imprimé, 9783540250579 |
Πίνακας περιεχομένων:
- The Mathematics of Learning Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set A New Theoretical Framework for K-means-type Clustering Clustering via Decision Tree Construction Incremental Mining on Association Rules Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets Sequential Pattern Mining by Pattern-Growth: Principles and Extensions Web Page Classification Web Mining Concepts, Applications, and Research Directions Privacy-Preserving Data Mining