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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...

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Bibliographic Details
Other Authors: Cerquitelli, Tania (Editor)
Quercia, Daniele (Editor)
Pasquale, Frank (Editor) 
Corporate Author: SpringerLink (online služba)  
Format: eBook
Language:English
Published: Cham : Springer International Publishing, 2017
Series:Studies in Big Data
Genre/form:elektronické knihy
ISBN:978-3-319-54024-5
9783319540238
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Online Access:Plný text
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Plný text
Status Sublibrary Description Location LCC Call number Old Call number