Handling Data Problems in Machine Learning Applications in Supply Chain Management.: A Multiple-Case Study on the Analysis of Data Augmentation Approaches. | Agenda Bookshop Skip to content
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A01=Christian Menden
Age Group_Uncategorized
Age Group_Uncategorized
Author_Christian Menden
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B01=Alexander Pflaum
B01=Fraunhofer-Arbeitsgruppe für Supply Chain Services des Fraunhofer IIS
Category1=Non-Fiction
Category=KJQ
Category=KNG
Category=PBW
Category=UFM
Category=UYQM
COP=Germany
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
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Handling Data Problems in Machine Learning Applications in Supply Chain Management.: A Multiple-Case Study on the Analysis of Data Augmentation Approaches.

★★★★★
★★★★★

English

By (author): Christian Menden

€80.09
€88.99
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A01=Christian MendenAge Group_UncategorizedAuthor_Christian Mendenautomatic-updateB01=Alexander PflaumB01=Fraunhofer-Arbeitsgruppe für Supply Chain Services des Fraunhofer IISCategory1=Non-FictionCategory=KJQCategory=KNGCategory=PBWCategory=UFMCategory=UYQMCOP=GermanyDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 170 x 240mm
  • Publication Date: 01 Mar 2022
  • Publisher: Fraunhofer IRB Verlag
  • Publication City/Country: Germany
  • Language: English
  • ISBN13: 9783839617861

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