Intelligent data mining : techniques and applications
Intelligent Data Mining - Techniques and Applications is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main object...
Gespeichert in:
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| Weitere Verfasser: | , , , |
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Ausgabe: | 1st ed. 2005. |
| Schriftenreihe: | Studies in Computational Intelligence
5 |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Intelligent data mining, techniques and applications, Da Ruan ... [et al.] (eds.), Berlin, Springer, 2005, 1 vol. (ix-517 p.), Studies in computational intelligence, 3-540-26256-3 • Intelligent Data Mining, Texte imprimé, 9783540812043 • Intelligent Data Mining, Texte imprimé, 9783642065767 • Intelligent data mining, techniques and applications, Da Ruan ... [et al.] (eds.), Berlin, Springer, 2005, 1 vol. (ix-517 p.), Studies in computational intelligence, 3-540-26256-3 |
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| 001 | 937697 | ||
| 008 | 080409q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN123095476 | ||
| 020 | |a 9783540324072 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Ruan, Da. | |
| 245 | 1 | 0 | |a Intelligent data mining : |b techniques and applications |c edited by Guoqing Chen, Etienne E. Kerre, Da Ruan, Geert Wets. |
| 250 | |a 1st ed. 2005. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 5 |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 1: Intelligent Systems and Data Mining; Some Considerations in Multi-Source Data Fusion; Granular Nested Causal Complexes; Gene Regulating Network Discovery; Semantic Relations and Information Discovery; Sequential Pattern Mining; Uncertain Knowledge Association through Information Gain; Data Mining for Maximal Frequency Patterns in Sequence Group; Mining Association Rule with Rough Sets; The Evolution of the Concept of Fuzzy Measure Part 2: Economic and Management Applications; Building ER Models with Association Rules; Discovering the Factors Affecting the Location Selection of FDI in China; Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction Part 3: Industrial Engineering Applications; Fuzzy Process Control with Intelligent Data Mining; Accelerating the New Product Introduction with Intelligent Data Mining; Integrated Clustering Modeling with Backpropagation Neural Network for Efficient Customer Relationship Management 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 Intelligent Data Mining - Techniques and Applications is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book | ||
| 700 | 1 | |a Chen, Guoqing. |4 edt | |
| 700 | 1 | |a Kerre, Etienne E. |4 edt | |
| 700 | 1 | |a Wets, Geert. |4 edt | |
| 700 | 1 | |a Chen, Guoqing. |4 pbd | |
| 700 | 1 | |a Kerre, Etienne E. |4 pbd | |
| 700 | 1 | |a Ruan, Da. |4 pbd | |
| 700 | 1 | |a Wets, Geert, |d 19..- |4 pbd | |
| 776 | 0 | |0 093602324 |t Intelligent data mining |o techniques and applications |f Da Ruan ... [et al.] (eds.) |c Berlin |n Springer |d 2005 |p 1 vol. (ix-517 p.) |s Studies in computational intelligence |z 3-540-26256-3 | |
| 776 | 0 | |t Intelligent Data Mining |b Texte imprimé |z 9783540812043 | |
| 776 | 0 | |t Intelligent Data Mining |b Texte imprimé |z 9783642065767 | |
| 776 | 0 | |0 093602324 |t Intelligent data mining |o techniques and applications |f Da Ruan ... [et al.] (eds.) |c Berlin |n Springer |d 2005 |p 1 vol. (ix-517 p.) |s Studies in computational intelligence |z 3-540-26256-3 | |
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