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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: P, Deepak (Editor), Jurek-Loughrey, Anna (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Unsupervised and Semi-Supervised Learning,
Subjects:
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 Access:Full-text access

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