|
" Data, engineering and applications. "
editors, Rajesh Kumar Shula, Jitendra Agrawal, Sanjeev Sharma and Geetam Singh Tomer.
| Document Type
|
:
|
BL
|
| Record Number
|
:
|
891079
|
| Title & Author
|
:
|
Data, engineering and applications.\ editors, Rajesh Kumar Shula, Jitendra Agrawal, Sanjeev Sharma and Geetam Singh Tomer.
|
| Publication Statement
|
:
|
Singapore :: Springer,, [2019]
|
| Page. NO
|
:
|
1 online resource
|
| ISBN
|
:
|
9789811363504
|
|
|
:
|
: 9789811363511
|
|
|
:
|
: 9789811363528
|
|
|
:
|
: 9789811363535
|
|
|
:
|
: 9811363501
|
|
|
:
|
: 981136351X
|
|
|
:
|
: 9811363528
|
|
|
:
|
: 9811363536
|
|
|
:
|
9789811363504
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references.
|
| Abstract
|
:
|
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. --
|
| Subject
|
:
|
Data mining.
|
| Subject
|
:
|
Machine learning.
|
| Subject
|
:
|
COMPUTERS-- General.
|
| Subject
|
:
|
Data mining.
|
| Subject
|
:
|
Machine learning.
|
| Dewey Classification
|
:
|
006.3/12
|
| LC Classification
|
:
|
QA76.9.D343
|
| Added Entry
|
:
|
Agrawal, Jitendra
|
|
|
:
|
Sharma, Sanjeev, (Information technology executive)
|
|
|
:
|
Shukla, Rajesh K.
|
|
|
:
|
Tomer, Geetam Singh
|
| |