Innovations in Big Data Mining and Embedded Knowledge

• Corporate Author: SpringerLink (Online service)
• Other Authors: Esposito, Anna (Editor, http://id.loc.gov/vocabulary/relators/edt), Esposito, Antonietta M. (Editor, http://id.loc.gov/vocabulary/relators/edt), Jain, Lakhmi C. (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: Intelligent Systems Reference Library, 159
• Subjects: Computational intelligence.; Data mining.; Big data.; Artificial intelligence.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Big Data.; Big Data/Analytics.; Artificial Intelligence.

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic sph...