Cargando…

Data Reduction and Analysis

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Raghavender, U. S.
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Ashland : Arcler Press, 2019.
Temas:	Data reduction. Data mining. Réduction des données (Statistique) Exploration de données (Informatique) Data mining Data reduction
Acceso en línea:	Texto completo

Ejemplares similares

Data Analysis.
por: Govaert, Gerard
Publicado: (2008)

Robust methods for data reduction /
por: Farcomeni, Alessio, et al.
Publicado: (2015)

Making sense of data I : a practical guide to exploratory data analysis and data mining /
por: Myatt, Glenn J., 1969-
Publicado: (2014)

Practical data science with R /
por: Zumel, Nina
Publicado: (2014)

Information Quality : the Potential of Data and Analytics to Generate Knowledge.
por: Kenett, Ron
Publicado: (2016)

Using R to unlock the value of big data : big data analytics with Oracle R Enterprise and Oracle R Connector for Hadoop /
por: Hornick, Mark F.
Publicado: (2013)

Report of a Workshop on Big Data /
Publicado: (2012)

Hands-on data science with R : techniques to perform data manipulation and mining to build smart analytical models using R /
por: Lanzetta, Vitor Bianchi, et al.
Publicado: (2018)

Making sense of data I : a practical guide to exploratory data analysis and data mining /
por: Myatt, Glenn J., 1969-
Publicado: (2014)

Data Analysis and Data Mining : an Introduction.
por: Azzalini, Adelchi
Publicado: (2012)

Data analysis with R : load, wrangle, and analyze your data using the world's most powerful statistical programming language /
por: Fischetti, Tony
Publicado: (2015)

Making sense of data : a practical guide to exploratory data analysis and data mining /
por: Myatt, Glenn J., 1969-
Publicado: (2007)

Big data : concepts, technology and architecture /
por: Balusamy, Balamurugan, et al.
Publicado: (2021)

Practical data wrangling : expert techniques for transforming your raw data into a valuable source for analytics /
por: Visochek, Allan
Publicado: (2017)

Data Science
por: Stahlbock, Robert
Publicado: (2019)

Why big data isn't enough /
por: Chai, Sen, et al.
Publicado: (2016)

Data Mining : a Tutorial-Based Primer, Second Edition.
por: Roiger, Richard J.
Publicado: (2017)

Expert data wrangling with R : streamline your work with tidyr, dplyr, and ggvis /
Publicado: (2015)

Going pro in data science : what it takes to succeed as a professional data scientist /
por: Overton, Jerry
Publicado: (2016)

Data mining and warehousing /
por: Prabhu, S.
Publicado: (2007)

Data Mining and Data Warehousing.
por: Mourya, S. K.
Publicado: (2012)

Ten signs of data science maturity /
por: Guerra, Peter, et al.
Publicado: (2016)

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

Data Mining.
Publicado: (2011)

Lessons From Becoming a Data-Driven Organization
por: Kiron, David
Publicado: (2016)

Data mining : concepts and techniques /
por: Han, Jiawei
Publicado: (2012)

Practical data analysis with JMP /
por: Carver, Robert
Publicado: (2019)

Advancing into analytics: from Excel to Python and R /
por: Mount, George
Publicado: (2021)

Zaawansowana analiza danych : jak przejść z arkuszy Excela do Pythona i R /
por: Mount, George (Writer on data analytics)
Publicado: (2022)

Using JMP 11 /
Publicado: (2014)

Opinion Analysis in Interactions : From Data Mining to Human-Agent Interaction.
por: Clavel, Chloe
Publicado: (2019)

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)

Assimilate data science projects.
Publicado: (2022)

Data mining methods for the content analyst : an introduction to the computational analysis of content /
por: Leetaru, Kalev
Publicado: (2012)

Data Analysis and Data Mining : an Introduction.
por: Azzalini, Adelchi
Publicado: (2012)

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

Data quality fundamentals : a practitioner's guide to building trustworthy data pipelines /
por: Moses, Barr, et al.
Publicado: (2022)

Data Science The Executive Summary - a Technical Book for Non-Technical Professionals.
por: Cady, Field
Publicado: (2020)

Contemporary Perspectives in Data Mining.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_1jmvpl582e8l4oqsf0aksentdc