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Linking and Mining Heterogeneous and Multi-view Data

This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of gro...

Detaylı Bibliyografya
Müşterek Yazar:	SpringerLink (Online service)
Diğer Yazarlar:	P, Deepak (Editör), Jurek-Loughrey, Anna (Editör)
Materyal Türü:	e-Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Cham : Springer International Publishing : 2019. Imprint: Springer,
Edisyon:	1st ed. 2019.
Seri Bilgileri:	Unsupervised and Semi-Supervised Learning,
Konular:	Telecommunication. Signal processing. Pattern recognition systems. Artificial intelligence. Data mining. Communications Engineering, Networks. Signal, Speech and Image Processing. Automated Pattern Recognition. Artificial Intelligence. Data Mining and Knowledge Discovery.
Online Erişim:	Full-text access

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