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...
Shranjeno v:
| Glavni avtor: | |
|---|---|
| Drugi avtorji: | |
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature Cham : Cham : |
| Izdaja: | 1st ed. 2005. |
| Serija: | Studies in Fuzziness and Soft Computing
180 |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
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 |
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| 082 | |a 519 | ||
| 100 | 1 | |a Chu, Wesley W. | |
| 245 | 1 | 0 | |a Foundations and advances in data mining |c edited by Wesley Chu, Tsau Young Lin. |
| 250 | |a 1st ed. 2005. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature. | ||
| 260 | |a Cham : |b Springer Nature. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 180 |x 1860-0808 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions | ||
| 700 | 1 | |a Lin, Tsau Young, |d 1937- |4 pbd | |
| 776 | 0 | |t Foundations and Advances in Data Mining |b Texte imprimé |z 9783540250579 | |
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