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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...
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| Other Authors: | , |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2019.
Imprint: Springer, |
| Edition: | 1st ed. 2019. |
| Series: | Unsupervised and Semi-Supervised Learning,
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| Subjects: | |
| Online Access: | Full-text access |