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...

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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.
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