Big Data in Engineering Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Roy, Sanjiban Sekhar (Editor, http://id.loc.gov/vocabulary/relators/edt), Samui, Pijush (Editor, http://id.loc.gov/vocabulary/relators/edt), Deo, Ravinesh (Editor, http://id.loc.gov/vocabulary/relators/edt), Ntalampiras, Stavros (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Big Data, 44
• Subjects: Computational intelligence.; Big data.; Computer mathematics.; Computational Intelligence.; Big Data.; Computational Science and Engineering.

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science...