Data, Engineering and Applications Volume 1 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Shukla, Rajesh Kumar (Editor, http://id.loc.gov/vocabulary/relators/edt), Agrawal, Jitendra (Editor, http://id.loc.gov/vocabulary/relators/edt), Sharma, Sanjeev (Editor, http://id.loc.gov/vocabulary/relators/edt), Singh Tomer, Geetam (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Big data.; Data mining.; Artificial intelligence.; Big Data.; Data Mining and Knowledge Discovery.; Artificial Intelligence.

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of...