東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Sublinear algorithms for big data ap...

Wang, Dan.

Linked to FindBook

Google Book

Amazon

博客來

Sublinear algorithms for big data applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sublinear algorithms for big data applications/ by Dan Wang, Zhu Han.
Author:	Wang, Dan.
other author:	Han, Zhu.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xi, 85 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Basics for Sublinear Algorithms -- Applications for Wireless Sensor Networks -- Applications for Big Data Processing -- Applications for a Smart Grid -- Concluding Remarks.
Contained By:	Springer eBooks
Subject:	Computer algorithms. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-20448-2
ISBN:	9783319204482 (electronic bk.)

Sublinear algorithms for big data applications
Wang, Dan.

Sublinear algorithms for big data applications[electronic resource] /by Dan Wang, Zhu Han. - Cham :Springer International Publishing :2015. - xi, 85 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

Introduction -- Basics for Sublinear Algorithms -- Applications for Wireless Sensor Networks -- Applications for Big Data Processing -- Applications for a Smart Grid -- Concluding Remarks.

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

ISBN: 9783319204482 (electronic bk.)

Standard No.: 10.1007/978-3-319-20448-2doiSubjects--Topical Terms:

523872
Computer algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Sublinear algorithms for big data applications
LDR:01915nmm a2200337 a 4500 001 2008862
003 DE-He213
005 20160223093648.0
006 m d
007 cr nn 008maaau
008 160311s2015 gw s 0 eng d
020 $a 9783319204482 (electronic bk.)
020 $a 9783319204475 (paper)
024 7 $a 10.1007/978-3-319-20448-2 $2 doi
035 $a 978-3-319-20448-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A43
072 7 $a UN $2 bicssc
072 7 $a UMT $2 bicssc
072 7 $a COM021000 $2 bisacsh
082 0 4 $a 005.1 $2 23
090 $a QA76.9.A43 $b W246 2015
100 1 $a Wang, Dan. $3 1275311
245 1 0 $a Sublinear algorithms for big data applications $h [electronic resource] / $c by Dan Wang, Zhu Han.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xi, 85 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a Introduction -- Basics for Sublinear Algorithms -- Applications for Wireless Sensor Networks -- Applications for Big Data Processing -- Applications for a Smart Grid -- Concluding Remarks.
520 $a The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.
650 0 $a Computer algorithms. $3 523872
650 0 $a Big data. $3 2045508
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Database Management. $3 891010
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Han, Zhu. $3 2054358
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20448-2
950 $a Computer Science (Springer-11645)