Foundations and novel approaches in data mining
Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on th...
Kaydedildi:
| Yazar: | |
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| Diğer Yazarlar: | , , , , , , |
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2006. |
| Seri Bilgileri: | Studies in Computational Intelligence
9 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
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 Novel Approaches in Data Mining, Texte imprimé, 9783540283157 • Foundations and Novel Approaches in Data Mining, Texte imprimé, 9783540814283 • Foundations and Novel Approaches in Data Mining, Texte imprimé, 9783642066504 • Foundations and Novel Approaches in Data Mining, Texte imprimé, 9783540283157 |
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| 009 | PPN123096812 | ||
| 020 | |a 9783540312291 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Lin, Tsau Young. | |
| 245 | 1 | 0 | |a Foundations and novel approaches in data mining |c edited by Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu. |
| 250 | |a 1st ed. 2006. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 9 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a From the contents Part I: Theoretical Foundations. Commonsense Causal Modeling in the Data Mining Context. Definability of Association Rules in Predicate Calculus. A Measurement-Theoretic Foundation of Rule Interestingness Evaluation. Statistical Independence as Linear Dependence in a Contingency Table. Foundations of Classification Part II: Novel Approaches. SVM-OD: SVM Method to Detect Outliers. Extracting Rules from Incomplete Decision Systems: System ERID. Mining for Patterns Based on Contingency Tables by KL-Miner First Experience. Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction. Rough Set Strategies to Data with Missing Attribute Values. Privacy-Preserving Collaborative Data Mining Part III: Novel Applications. Research Issues in Web Structural Delta Mining. Workflow Reduction for Reachable-path Rediscovery in Workflow Mining. Principal Component-based Anomaly Detection Scheme. Making Better Sense of the Demographic Data Value in the Data Mining Procedure | |
| 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 Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for realworld problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics | ||
| 700 | 1 | |a Ohsuga, Setsuo. |4 edt | |
| 700 | 1 | |a Liau, Churn-Jung. |4 edt | |
| 700 | 1 | |a Hu, Xiaohua. |4 edt | |
| 700 | 1 | |a Lin, Tsau Young, |d 1937- |4 pbd | |
| 700 | 1 | |a Hu, Xiaohua Tony. |4 pbd | |
| 700 | 1 | |a Liau, Churn-Jung, |d 19..- |4 pbd | |
| 700 | 1 | |a Ohsuga, Setsuo, |d 1934- |4 pbd | |
| 776 | 0 | |t Foundations and Novel Approaches in Data Mining |b Texte imprimé |z 9783540283157 | |
| 776 | 0 | |t Foundations and Novel Approaches in Data Mining |b Texte imprimé |z 9783540814283 | |
| 776 | 0 | |t Foundations and Novel Approaches in Data Mining |b Texte imprimé |z 9783642066504 | |
| 776 | 0 | |t Foundations and Novel Approaches in Data Mining |b Texte imprimé |z 9783540283157 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/11539827 |z Accès sur la plateforme de l'éditeur | |
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