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...

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Détails bibliographiques
Auteur principal: Ruan, Da (Directeur de la publication)
Autres auteurs: Chen, Guoqing (Éditeur intellectuel, Directeur de la publication), Kerre, Etienne E. (Éditeur intellectuel, Directeur de la publication), Wets, Geert (Éditeur intellectuel), Wets, Geert, 19..- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2005.
Collection:Studies in Computational Intelligence 5
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: 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
Table des matières:
  • 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