Cargando…

Social sensing : building reliable systems on unreliable data /

Mostrar otras versiones (2)

Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autores principales:	Wang, Dong (Autor), Abdelzaher, Tarek (Autor), Kaplan, Lance (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Waltham, MA : Morgan Kaufmann, [2015]
Edición:	First edition.
Temas:	Social media. Data mining. Big data. Médias sociaux. Exploration de données (Informatique) Données volumineuses. social media. COMPUTERS > Computer Literacy. COMPUTERS > Computer Science. COMPUTERS > Data Processing. COMPUTERS > Hardware > General. COMPUTERS > Information Technology. COMPUTERS > Machine Theory. COMPUTERS > Reference. Big data Data mining Social media
Acceso en línea:	Texto completo Texto completo

Ejemplares similares

Social sensing : building reliable systems on unreliable data /
por: Wang, Dong, et al.
Publicado: (2015)

Social sensing : building reliable systems on unreliable data /
por: Wang, Dong, et al.
Publicado: (2015)

Social big data mining /
por: Ishikawa, Hiroshi
Publicado: (2015)

Social big data mining /
por: Ishikawa, Hiroshi
Publicado: (2015)

Compromised data : from social media to big data /
Publicado: (2015)

Deep text : using text analytics to conquer information overload, get real value from social media, and add big(ger) text to big data /
por: Reamy, Tom
Publicado: (2016)

Data scientist : the definitive guide to becoming a data scientist /
por: Voulgaris, Zacharias
Publicado: (2014)

Pentaho for Big Data Analytics.
por: R. Patil, Manoj
Publicado: (2013)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time /
por: Gupta, Sumit, et al.
Publicado: (2016)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time /
por: Gupta, Sumit, et al.
Publicado: (2016)

Data Science für Unternehmen: Data Mining und datenanalytisches Denken praktisch anwenden.
por: Provost, Foster
Publicado: (2017)

Google BigQuery : the definitive guide : data warehousing, analytics, and machine learning at scale /
por: Lakshmanan, Valliappa, et al.
Publicado: (2019)

Big data analytics for large-scale multimedia search /
por: Vrochidis, Stefanos, 1975-, et al.
Publicado: (2018)

Big data application architecture Q & A : a problem-solution approach /
por: Sawant, Nitin
Publicado: (2013)

Big data, open data and data development /
por: Monino, Jean-Louis, et al.
Publicado: (2016)

Spark in Action Covers Apache Spark 3 with Examples in Java, Python, and Scala.
por: Perrin, Jean Georges
Publicado: (2020)

Big data analytics with Java : big data analytics - massive, predictive, social and self-driving /
por: Mehta, Rajat
Publicado: (2017)

Big data analytics with Java : big data analytics - massive, predictive, social and self-driving /
por: Mehta, Rajat
Publicado: (2017)

Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum /
por: Gollapudi, Sunila
Publicado: (2013)

Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum /
por: Gollapudi, Sunila
Publicado: (2013)

Real-world data mining : applied business analytics and decision making /
por: Delen, Dursun
Publicado: (2014)

Mastering the SAS DS2 procedure : advanced data wrangling techniques /
por: Jordan, Mark
Publicado: (2016)

Mastering the SAS DS2 procedure : advanced data-wrangling techniques /
por: Jordan, Mark
Publicado: (2018)

Introducing data science : big data, machine learning, and more, using Python tools /
por: Cielen, Davy, et al.
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)

Data analytics and big data /
por: Sedkaoui, Soraya
Publicado: (2018)

Big data computing /
por: Akerkar, Rajendra
Publicado: (2014)

Information management : strategies for gaining a competitive advantage with data /
por: McKnight, William (Consultant)
Publicado: (2014)

Smart data analytics : Zusammenhänge erkennen Potentiale nutzen Big Data verstehen /
por: Wierse, Andreas, et al.
Publicado: (2017)

Principles and practice of big data : preparing, sharing, and analyzing complex information /
por: Berman, Jules J.
Publicado: (2018)

Big Data : Opportunities and challenges.
Publicado: (2014)

Too big to ignore : the business case for big data /
por: Simon, Phil
Publicado: (2013)

Data science and big data analytics : discovering, analyzing, visualizing and presenting data /
Publicado: (2015)

Big data analytics using Splunk /
por: Zadrozny, Peter
Publicado: (2013)

Social media mining with R : deploy cutting-edge sentiment analysis techniques to real-world social media data using R /
por: Danneman, Nathan, et al.
Publicado: (2014)

Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark /
por: Kane, Frank
Publicado: (2017)

Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark /
por: Kane, Frank
Publicado: (2017)

Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise /
por: Diakun, Josh, et al.
Publicado: (2016)

Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise /
por: Diakun, Josh, et al.
Publicado: (2016)

Advanced Splunk.
por: Yadav, Ashish Kumar Tulsiram
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_4icjr7tcfelpo41qgjc0j6grph