語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Practical Graph Analytics with Apach...
~
Martella, Claudio.
Practical Graph Analytics with Apache Giraph
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Practical Graph Analytics with Apache Giraph/ by Roman Shaposhnik, Claudio Martella, Dionysios Logothetis.
作者:
Shaposhnik, Roman.
其他作者:
Martella, Claudio.
面頁冊數:
XIX, 315 p. 104 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-1-4842-1251-6
ISBN:
9781484212516
Practical Graph Analytics with Apache Giraph
Shaposhnik, Roman.
Practical Graph Analytics with Apache Giraph
[electronic resource] /by Roman Shaposhnik, Claudio Martella, Dionysios Logothetis. - 1st ed. 2015. - XIX, 315 p. 104 illus.online resource.
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points. Graphs arise in a wealth of data scenarios and describe the connections that are naturally formed in both digital and real worlds. Examples of such connections abound in online social networks such as Facebook and Twitter, among users who rate movies from services like Netflix and Amazon Prime, and are useful even in the context of biological networks for scientific research. Whether in the context of business or science, viewing data as connected adds value by increasing the amount of information available to be drawn from that data and put to use in generating new revenue or scientific opportunities. Apache Giraph offers a simple yet flexible programming model targeted to graph algorithms and designed to scale easily to accommodate massive amounts of data. Originally developed at Yahoo!, Giraph is now a top top-level project at the Apache Foundation, and it enlists contributors from companies such as Facebook, LinkedIn, and Twitter. Practical Graph Analytics with Apache Giraph brings the power of Apache Giraph to you, showing how to harness the power of graph processing for your own data by building sophisticated graph analytics applications using the very same framework that is relied upon by some of the largest players in the industry today.
ISBN: 9781484212516
Standard No.: 10.1007/978-1-4842-1251-6doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Practical Graph Analytics with Apache Giraph
LDR
:02920nam a22003735i 4500
001
966010
003
DE-He213
005
20200630112627.0
007
cr nn 008mamaa
008
201211s2015 xxu| s |||| 0|eng d
020
$a
9781484212516
$9
978-1-4842-1251-6
024
7
$a
10.1007/978-1-4842-1251-6
$2
doi
035
$a
978-1-4842-1251-6
050
4
$a
Q334-342
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Shaposhnik, Roman.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1070212
245
1 0
$a
Practical Graph Analytics with Apache Giraph
$h
[electronic resource] /
$c
by Roman Shaposhnik, Claudio Martella, Dionysios Logothetis.
250
$a
1st ed. 2015.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2015.
300
$a
XIX, 315 p. 104 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
520
$a
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points. Graphs arise in a wealth of data scenarios and describe the connections that are naturally formed in both digital and real worlds. Examples of such connections abound in online social networks such as Facebook and Twitter, among users who rate movies from services like Netflix and Amazon Prime, and are useful even in the context of biological networks for scientific research. Whether in the context of business or science, viewing data as connected adds value by increasing the amount of information available to be drawn from that data and put to use in generating new revenue or scientific opportunities. Apache Giraph offers a simple yet flexible programming model targeted to graph algorithms and designed to scale easily to accommodate massive amounts of data. Originally developed at Yahoo!, Giraph is now a top top-level project at the Apache Foundation, and it enlists contributors from companies such as Facebook, LinkedIn, and Twitter. Practical Graph Analytics with Apache Giraph brings the power of Apache Giraph to you, showing how to harness the power of graph processing for your own data by building sophisticated graph analytics applications using the very same framework that is relied upon by some of the largest players in the industry today.
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Software engineering.
$3
562952
650
0
$a
Bioinformatics.
$3
583857
650
1 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Software Engineering/Programming and Operating Systems.
$3
669780
650
2 4
$a
Computational Biology/Bioinformatics.
$3
677363
700
1
$a
Martella, Claudio.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1070211
700
1
$a
Logothetis, Dionysios.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1070213
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484212523
776
0 8
$i
Printed edition:
$z
9781484212530
856
4 0
$u
https://doi.org/10.1007/978-1-4842-1251-6
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入