Transparent data mining for big and small data

• Other Authors: Cerquitelli, Tania (Editor), Quercia, Daniele (Editor), Pasquale, Frank (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer, 2017.
• Series: Studies in big data ; 32.
• Subjects: Data mining.; elektronické knihy; electronic books
• ISBN: 9783319540245; 9783319540238
• ISSN: 2197-6503 ;
• Physical Description: 1 online resource (XV, 215 pages) : 23 illustrations in color

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...