Data Mining : Concepts, Methods and Applications in Management and Engineering Design

Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes int...

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Detaylı Bibliyografya
Asıl Yazarlar: Yin, Yong, Kaku, Ikou (Yazar), Tang, Jiafu (Yazar), Zhu, JianMing (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: London : Springer London [20..].
Cham : Springer Nature
Edisyon:1.
Seri Bilgileri:Decision Engineering
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Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data mining, concepts, methods and applications in management and engineering design, Yong Yin, Ikou Kaku, Jiafu Tang... [et al.], London, Springer, 2011, 1 vol. (312 p.), Decision engineering, 978-1-84996-337-4
• Data mining, concepts, methods and applications in management and engineering design, Yong Yin, Ikou Kaku, Jiafu Tang... [et al.], London, Springer, 2011, 1 vol. (312 p.), Decision engineering, 978-1-84996-337-4
• Data Mining, Texte imprimé, 9781447161189
• Data Mining, Texte imprimé, 9781849963398
Diğer Bilgiler
Özet:Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: market segmentation, product design, organization design, manufacturing design, and supply chain design. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners
Diğer Bilgileri:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781849963381
ISSN:2197-6589
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017