Cargando…

Practical graph analytics with Apache Giraph /

Mostrar otras versiones (1)

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...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autores principales:	Martella, Claudio (Autor), Shaposhnik, Roman (Autor), Logothetis, Dionysios (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	[New York] : Apress, [2015]
Colección:	Expert's voice in big data.
Temas:	Apache Giraph. Graph theory > Data processing. Big data. Données volumineuses. Software Engineering. Life sciences: general issues. Artificial intelligence. Computers > Software Development & Engineering > General. Computers > Computer Science. Computers > Intelligence (AI) & Semantics. Big data Graph theory > Data processing
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

Machine Learning with Apache Spark Quick Start Guide : Uncover Patterns, Derive Actionable Insights, and Learn from Big Data Using MLlib.
por: Quddus, Jillur
Publicado: (2018)

Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems /
por: Ozdemir, Sinan, et al.
Publicado: (2018)

Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems /
por: Ozdemir, Sinan, et al.
Publicado: (2018)

Apache Hadoop 3 quick start guide : learn about big data processing and analytics /
por: Karambelkar, Hrishikesh Vijay
Publicado: (2018)

Apache Hive Essentials : Essential Techniques to Help You Process, and Get Unique Insights from, Big Data, 2nd Edition.
por: Du, Dayong
Publicado: (2018)

Apache Hadoop 3 Quick Start Guide : Learn about Big Data Processing and Analytics.
por: Vijay Karambelkar, Hrishikesh
Publicado: (2018)

Fighting crime with graph learning /
Publicado: (2019)

Graph theory and computing
por: Read, Ronald C.
Publicado: (1972)

Topics in structural graph theory /
Publicado: (2013)

Pro Apache Hadoop /
por: Wadkar, Sameer, et al.
Publicado: (2014)

Graph algorithms : practical examples in Apache Spark and Neo4j /
por: Needham, Mark, et al.
Publicado: (2019)

State of the Art Applications of Social Network Analysis
Publicado: (2014)

Discrete structures and their interactions /
por: Brown, Jason I. (Jason Ira), 1961-
Publicado: (2013)

Computational Structural Analysis and Finite Element Methods
por: Kaveh, A.
Publicado: (2014)

Practical Graph Analytics with Apache Giraph
por: Shaposhnik, Roman, et al.
Publicado: (2015)

Big data analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data /
por: Alla, Sridhar
Publicado: (2018)

Exploring graphs with Elixir : connect data with native graph libraries and graph databases /
por: Hammond, Tony
Publicado: (2022)

Apache Spark 2.x cookbook : Cloud-ready recipes to do analytics and data science on Apache Spark /
por: Yadav, Rishi
Publicado: (2017)

Apache Spark 2.x cookbook : Cloud-ready recipes to do analytics and data science on Apache Spark /
por: Yadav, Rishi
Publicado: (2017)

Large-Scale Graph Processing Using Apache Giraph
por: Sakr, Sherif, et al.
Publicado: (2016)

Hands-On Deep Learning with Apache Spark : Build and Deploy Distributed Deep Learning Applications on Apache Spark.
por: Iozzia, Guglielmo
Publicado: (2019)

Beginning Apache Spark using Azure Databricks : unleashing large cluster analytics in the Cloud /
por: Ilijason, Robert
Publicado: (2020)

Python Artificial Intelligence Projects for Beginners : Get up and Running with Artificial Intelligence Using 8 Smart and Exciting AI Applications.
por: Eckroth, Joshua
Publicado: (2018)

Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA /
Publicado: (2013)

Next-generation big data : a practical guide to Apache Kudu, Impala, and Spark /
por: Quinto, Butch
Publicado: (2018)

Machine Learning with Go Quick Start Guide : Hands-On Techniques for Building Supervised and Unsupervised Machine Learning Workflows.
por: Bironneau, Michael
Publicado: (2019)

Building an end-to-end batch data pipeline with Apache Spark.
Publicado: (2022)

Social Network-Based Recommender Systems
por: Schall, Daniel
Publicado: (2015)

Networks and graphs : techniques and computational methods /
por: Smith, David K. (David Kendall), 1950-
Publicado: (2003)

Splunk Operational Intelligence Cookbook : Over 80 recipes for transforming your data into business-critical insights using Splunk, 3rd Edition.
por: Mock, Derek
Publicado: (2018)

Spark : big data cluster computing in production /
por: Ganelin, Ilya, et al.
Publicado: (2016)

Splunk 7 essentials : demystify machine data by leveraging datasets, building reports, and sharing powerful insights /
por: Contreras, J-P, et al.
Publicado: (2018)

Complex networks : a networking and signal processing perspective /
por: Manoj, B. S., et al.
Publicado: (2018)

Big data SMACK : a guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /
por: Estrada, Raul
Publicado: (2016)

Spark cookbook : over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLib, and GraphX libraries /
por: Yadav, Rishi
Publicado: (2015)

Da gui mo shu ju fen xi he jian mo : ji yu Spark yu R = Mastering Spark with R /
por: Luraschi, Javier, et al.
Publicado: (2020)

Mastering Spark with R : the complete guide to large-scale analysis and modeling /
por: Luraschi, Javier, et al.
Publicado: (2019)

Shadow algorithms data miner /
por: Woo, Andrew, 1965-
Publicado: (2012)

Stream processing with Apache Spark : mastering structured streaming and Spark streaming /
por: Maas, Gerard, et al.
Publicado: (2019)

Data Correcting Approaches in Combinatorial Optimization
por: Goldengorin, Boris I., et al.
Publicado: (2012)