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Business analytics and data mining with R

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Bibliográfalaš dieđut
Váldodahkki:	Ledolter, Johannes
Searvvušdahkki:	ebrary, Inc
Materiálatiipa:	Elektrovnnalaš E-girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Hoboken, NJ : Wiley, c2013.
Fáttát:	Commercial statistics. Data mining. R (Computer program language) Electronic books.
Liŋkkat:	An electronic book accessible through the World Wide Web; click to view
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

R and data mining examples and case studies /
Dahkki: Zhao, Yanchang
Almmustuhtton: (2013)

Data mining algorithms : explained using R /
Dahkki: Cichosz, Pawel
Almmustuhtton: (2015)

Data mining applications with R /
Dahkki: Zhao, Yanchang, 1977-
Almmustuhtton: (2014)

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

Big data analytics with R and Hadoop /
Dahkki: Prajapati, Vignesh
Almmustuhtton: (2013)

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

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

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

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

Statistical data analytics : foundations for data mining, informatics, and knowledge discovery /
Dahkki: Piegorsch, Walter W.
Almmustuhtton: (2015)

Beginning R the statistical programming language /
Dahkki: Gardener, Mark
Almmustuhtton: (2012)

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

Data mining concepts and techniques /
Dahkki: Han, Jiawei
Almmustuhtton: (2006)

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

Data mining and management
Almmustuhtton: (2010)

Data mining and statistics for decision making
Dahkki: Tuffery, Stéphane
Almmustuhtton: (2011)

Statistical analysis with R beginner's guide /
Dahkki: Quick, John M.
Almmustuhtton: (2010)

A course in statistics with R /
Dahkki: Tattar, Prabhanjan, 1979-, et al.
Almmustuhtton: (2016)

Data mining for business applications
Almmustuhtton: (2010)

Data mining concepts and techniques /
Dahkki: Han, Jiawei
Almmustuhtton: (2012)

Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python /
Dahkki: Ojeda, Tony
Almmustuhtton: (2014)

Predictive analytics and data mining : concepts and practice with rapidminer /
Dahkki: Kotu, Vijay, et al.
Almmustuhtton: (2015)

Data analysis and data mining an introduction /
Dahkki: Azzalini, Adelchi
Almmustuhtton: (2012)

Data mining for dummies /
Dahkki: Brown, Meta S.
Almmustuhtton: (2014)

Data mining and learning analytics : applications in educational research /
Almmustuhtton: (2016)

Sports Data Mining
Dahkki: Schumaker, Robert P.
Almmustuhtton: (2010)

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

Data preparation for data mining using SAS
Dahkki: Refaat, Mamdouh
Almmustuhtton: (2007)

Data mining and warehousing
Dahkki: Prabhu, S.
Almmustuhtton: (2007)

Handbook of statistical analysis and data mining applications
Dahkki: Nisbet, Robert
Almmustuhtton: (2009)

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

Data mining for business analytics : concepts, techniques, and applications in Microsoft Office Excel with XLMiner /
Dahkki: Shmueli, Galit, 1971-, et al.
Almmustuhtton: (2016)

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

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

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

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

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

Probability with applications in R /
Dahkki: Dobrow, Robert P.
Almmustuhtton: (2014)

Understanding and applying basic statistical methods using R /
Dahkki: Wilcox, Rand R.
Almmustuhtton: (2017)

Multi-relational data mining
Almmustuhtton: (2006)