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R and data mining examples and case studies /

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Xehetasun bibliografikoak
Egile nagusia:	Zhao, Yanchang
Erakunde egilea:	ebrary, Inc
Formatua:	Baliabide elektronikoa eBook
Hizkuntza:	ingelesa
Argitaratua:	San Diego, Calif. : Academic Press, 2013.
Edizioa:	1st ed.
Gaiak:	Data mining > Case studies. R (Computer program language) Electronic books.
Sarrera elektronikoa:	An electronic book accessible through the World Wide Web; click to view
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Data mining applications with R /
nork: Zhao, Yanchang, 1977-
Argitaratua: (2014)

Business analytics and data mining with R
nork: Ledolter, Johannes
Argitaratua: (2013)

Data mining algorithms : explained using R /
nork: Cichosz, Pawel
Argitaratua: (2015)

Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms /
nork: Makhabel, Bater
Argitaratua: (2015)

Automated data collection with R : a practical guide to web scraping and text mining /
nork: Munzert, Simon
Argitaratua: (2015)

Big data analytics with R and Hadoop /
nork: Prajapati, Vignesh
Argitaratua: (2013)

Java data mining strategy, standard, and practice :a practical guide for architecture, design, and implementation /
nork: Hornick, Mark F.
Argitaratua: (2007)

Data mining concepts and techniques /
nork: Han, Jiawei
Argitaratua: (2006)

Data mining and management
Argitaratua: (2010)

R for data science : learn and explore the fundamentals of data science with R /
nork: Toomey, Dan
Argitaratua: (2014)

Data mining concepts and techniques /
nork: Han, Jiawei
Argitaratua: (2012)

Spectral feature selection for data mining /
nork: Zhao, Zheng (Zheng Alan), et al.
Argitaratua: (2012)

Data analysis and data mining an introduction /
nork: Azzalini, Adelchi
Argitaratua: (2012)

Data mining for dummies /
nork: Brown, Meta S.
Argitaratua: (2014)

Data mining practical machine learning tools and techniques /
nork: Witten, I. H. (Ian H.)
Argitaratua: (2011)

Data mining and warehousing
nork: Prabhu, S.
Argitaratua: (2007)

Data preparation for data mining using SAS
nork: Refaat, Mamdouh
Argitaratua: (2007)

Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /
nork: Abedin, Jaynal
Argitaratua: (2014)

Mastering SQL server 2014 data mining : master selecting, applying, and deploying data mining models to build powerful predictive analysis frameworks /
nork: Bassan, Amarpreet Singh, et al.
Argitaratua: (2014)

Active mining new directions of data mining /
Argitaratua: (2002)

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

Beginning R the statistical programming language /
nork: Gardener, Mark
Argitaratua: (2012)

Multi-relational data mining
Argitaratua: (2006)

Data mining for business applications
Argitaratua: (2010)

Data mining practical machine learning tools and techniques /
nork: Witten, I. H. (Ian H.)
Argitaratua: (2005)

Probability with applications in R /
nork: Dobrow, Robert P.
Argitaratua: (2014)

Instant data intensive apps with pandas how-to manipulate, visualize, and analyze your data with pandas /
nork: Hauck, Trent
Argitaratua: (2013)

Basic data analysis for time series with R /
nork: Derryberry, DeWayne R.
Argitaratua: (2014)

Mastering Splunk : optimize your machine-generated data effectively by developing advanced analytics with Splunk /
nork: Miller, James
Argitaratua: (2014)

Lecture notes in data mining
Argitaratua: (2006)

Data mining and predictive analytics /
nork: Larose, Daniel T., et al.
Argitaratua: (2015)

R data visualization cookbook : over 80 recipes to analyze data and create stunning visualizations with R /
nork: Gohil, Atmajitsinh
Argitaratua: (2015)

The art of R programming a tour of statistical software design /
nork: Matloff, Norman S.
Argitaratua: (2011)

R object-oriented programming : a practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R /
nork: Black, Kelly
Argitaratua: (2014)

Data mining with decision trees theroy and applications /
nork: Rokach, Lior
Argitaratua: (2008)

Fast data processing with Spark /
nork: Karau, Holden
Argitaratua: (2013)

Text mining applications and theory /
nork: Berry, Michael W.
Argitaratua: (2010)

Data mining in time series databases
Argitaratua: (2004)

Data mining and statistics for decision making
nork: Tuffery, Stéphane
Argitaratua: (2011)

R for dummies /
nork: De Vries, Andrie, et al.
Argitaratua: (2015)