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Transparent Data Mining for Big and Small Data
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent soluti...
Müşterek Yazar: | SpringerLink (Online service) |
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Diğer Yazarlar: | Cerquitelli, Tania (Editör), Quercia, Daniele (Editör), Pasquale, Frank (Editör) |
Materyal Türü: | e-Kitap |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Edisyon: | 1st ed. 2017. |
Seri Bilgileri: | Studies in Big Data,
32 |
Konular: | |
Online Erişim: | Full-text access OPAC'ta görüntüle |
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