Foundations of Data Mining and Knowledge Discovery
Foundations of Data Mining and Knowledge Discovery contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is...
Enregistré dans:
| Andre forfattere: | , , , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2005.
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2005. |
| Serier: | Studies in Computational Intelligence
6 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
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 Data Mining and knowledge Discovery, Texte imprimé, 9783540262572 • Foundations of Data Mining and Knowledge Discovery, Texte imprimé, 9783540812050 • Foundations of Data Mining and Knowledge Discovery, Texte imprimé, 9783540262572 • Foundations of Data Mining and Knowledge Discovery, Texte imprimé, 9783642432286 |
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| 001 | 1403657 | ||
| 008 | 080409s2005 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN123095484 | ||
| 020 | |a 9783540324089 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 245 | 0 | 0 | |a Foundations of Data Mining and Knowledge Discovery |c edited by Xiaohua Hu, Churn-Jung Liau, Tsau Young Lin, Setsuo Ohsuga et al. |
| 250 | |a 1st ed. 2005. | ||
| 256 | |a Données textuelles | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2005. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 6 |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 Foundations of Data Mining; Knowledge Discovery as Translation; Mathematical Foundation of Association Rules Mining Associations by Solving Integral Linear Inequalities; Comparative Study of Sequential Pattern Mining Models; Designing Robust Regression Models; A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases; A Careful Look at the Use of Statistical Methodology in Data Mining; Justification and Hypothesis Selection in Data Mining Part II Methods of Data Mining; A Comparative Investigation on Model Selection in Binary Factor Analysis; Extraction of Generalized Rules with Automated Attribute Abstraction; Decision Making Based on Hybrid of Multi-knowledge and Naïve Bayes Classifier; First-Order Logic Based Formalism for Temporal Data Mining; An Alternative Approach to Mining Association Rules Part III General Knowledge Discovery; Posting Act Tagging Using Transformation-Based Learning | |
| 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 Foundations of Data Mining and Knowledge Discovery contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state-of-the-art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications | ||
| 538 | |a Nécessite un lecteur de fichier PDF | ||
| 700 | 1 | |a Hu, Xiaohua Tony, |d 19..- |4 pbd | |
| 700 | 1 | |a Liau, Churn-Jung, |d 19..- |4 pbd | |
| 700 | 1 | |a Lin, Tsau Young, |d 1937- |4 pbd | |
| 700 | 1 | |a Ohsuga, Setsuo, |d 1934- |4 pbd | |
| 700 | 1 | |a Tsumoto, Shusaku, |d 1963- |4 pbd | |
| 776 | 0 | |t Foundations of Data Mining and knowledge Discovery |b Texte imprimé |z 9783540262572 | |
| 776 | 0 | |t Foundations of Data Mining and Knowledge Discovery |b Texte imprimé |z 9783540812050 | |
| 776 | 0 | |t Foundations of Data Mining and Knowledge Discovery |b Texte imprimé |z 9783540262572 | |
| 776 | 0 | |t Foundations of Data Mining and Knowledge Discovery |b Texte imprimé |z 9783642432286 | |
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