Practical Graph Analytics with Apache Giraph

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Martella, Claudio (Συγγραφέας), Shaposhnik, Roman (Συγγραφέας), Logothetis, Dionysios (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03123nam a22004335i 4500
001 978-1-4842-1251-6
003 DE-He213
005 20151119134251.0
007 cr nn 008mamaa
008 151119s2015 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 
040 |d GrThAP 
050 4 |a QA75.5-76.95 
072 7 |a UY  |2 bicssc 
072 7 |a COM014000  |2 bisacsh 
082 0 4 |a 004  |2 23 
100 1 |a Martella, Claudio.  |e author. 
245 1 0 |a Practical Graph Analytics with Apache Giraph  |h [electronic resource] /  |c by Claudio Martella, Roman Shaposhnik, Dionysios Logothetis. 
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 Computer science. 
650 0 |a Bioinformatics. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Science, general. 
650 2 4 |a Computational Biology/Bioinformatics. 
700 1 |a Shaposhnik, Roman.  |e author. 
700 1 |a Logothetis, Dionysios.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781484212523 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4842-1251-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-CWD 
950 |a Professional and Applied Computing (Springer-12059)