TY  - GEN
N2  - 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 capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications. --
AB  - 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 capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications. --
T1  - Data, engineering and applications.
AU  - Shukla, Rajesh K.,
AU  - Agrawal, Jitendra,
AU  - Sharma, Sanjeev
AU  - Tomer, Geetam Singh,
CN  - QA76.9.D343
ID  - 868223
KW  - Data mining.
KW  - Machine learning.
SN  - 9789811363511
SN  - 981136351X
TI  - Data, engineering and applications.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-6351-1
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-6351-1
ER  -