Linking and Mining Heterogeneous and Multi-view Data

• Corporate Author: SpringerLink (Online service)
• Other Authors: P, Deepak (Editor, http://id.loc.gov/vocabulary/relators/edt), Jurek-Loughrey, Anna (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Unsupervised and Semi-Supervised Learning,
• Subjects: Electrical engineering.; Signal processing.; Image processing.; Speech processing systems.; Pattern recognition.; Artificial intelligence.; Data mining.; Communications Engineering, Networks.; Signal, Image and Speech Processing.; Pattern Recognition.; Artificial Intelligence.; Data Mining and Knowledge Discovery.

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...