R and data mining examples and case studies /
I tiakina i:
Kaituhi matua: | Zhao, Yanchang |
---|---|
Kaituhi rangatōpū: | ebrary, Inc |
Hōputu: | Tāhiko īPukapuka |
Reo: | Ingarihi |
I whakaputaina: |
San Diego, Calif. :
Academic Press,
2013.
|
Putanga: | 1st ed. |
Ngā marau: | |
Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Ngā tūemi rite
Data mining applications with R /
mā: Zhao, Yanchang, 1977-
I whakaputaina: (2014)
mā: Zhao, Yanchang, 1977-
I whakaputaina: (2014)
Business analytics and data mining with R
mā: Ledolter, Johannes
I whakaputaina: (2013)
mā: Ledolter, Johannes
I whakaputaina: (2013)
Data mining algorithms : explained using R /
mā: Cichosz, Pawel
I whakaputaina: (2015)
mā: Cichosz, Pawel
I whakaputaina: (2015)
Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms /
mā: Makhabel, Bater
I whakaputaina: (2015)
mā: Makhabel, Bater
I whakaputaina: (2015)
Automated data collection with R : a practical guide to web scraping and text mining /
mā: Munzert, Simon
I whakaputaina: (2015)
mā: Munzert, Simon
I whakaputaina: (2015)
Big data analytics with R and Hadoop /
mā: Prajapati, Vignesh
I whakaputaina: (2013)
mā: Prajapati, Vignesh
I whakaputaina: (2013)
Java data mining strategy, standard, and practice :a practical guide for architecture, design, and implementation /
mā: Hornick, Mark F.
I whakaputaina: (2007)
mā: Hornick, Mark F.
I whakaputaina: (2007)
Data mining concepts and techniques /
mā: Han, Jiawei
I whakaputaina: (2006)
mā: Han, Jiawei
I whakaputaina: (2006)
Data mining and management
I whakaputaina: (2010)
I whakaputaina: (2010)
R for data science : learn and explore the fundamentals of data science with R /
mā: Toomey, Dan
I whakaputaina: (2014)
mā: Toomey, Dan
I whakaputaina: (2014)
Data mining concepts and techniques /
mā: Han, Jiawei
I whakaputaina: (2012)
mā: Han, Jiawei
I whakaputaina: (2012)
Spectral feature selection for data mining /
mā: Zhao, Zheng (Zheng Alan), me ētahi atu.
I whakaputaina: (2012)
mā: Zhao, Zheng (Zheng Alan), me ētahi atu.
I whakaputaina: (2012)
Data analysis and data mining an introduction /
mā: Azzalini, Adelchi
I whakaputaina: (2012)
mā: Azzalini, Adelchi
I whakaputaina: (2012)
Data mining for dummies /
mā: Brown, Meta S.
I whakaputaina: (2014)
mā: Brown, Meta S.
I whakaputaina: (2014)
Data mining practical machine learning tools and techniques /
mā: Witten, I. H. (Ian H.)
I whakaputaina: (2011)
mā: Witten, I. H. (Ian H.)
I whakaputaina: (2011)
Data preparation for data mining using SAS
mā: Refaat, Mamdouh
I whakaputaina: (2007)
mā: Refaat, Mamdouh
I whakaputaina: (2007)
Data mining and warehousing
mā: Prabhu, S.
I whakaputaina: (2007)
mā: Prabhu, S.
I whakaputaina: (2007)
Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /
mā: Abedin, Jaynal
I whakaputaina: (2014)
mā: Abedin, Jaynal
I whakaputaina: (2014)
Mastering SQL server 2014 data mining : master selecting, applying, and deploying data mining models to build powerful predictive analysis frameworks /
mā: Bassan, Amarpreet Singh, me ētahi atu.
I whakaputaina: (2014)
mā: Bassan, Amarpreet Singh, me ētahi atu.
I whakaputaina: (2014)
Social media mining with R : deploy cutting-edge sentiment analysis techniques to real-world social media data using R /
mā: Danneman, Nathan, me ētahi atu.
I whakaputaina: (2014)
mā: Danneman, Nathan, me ētahi atu.
I whakaputaina: (2014)
Beginning R the statistical programming language /
mā: Gardener, Mark
I whakaputaina: (2012)
mā: Gardener, Mark
I whakaputaina: (2012)
Active mining new directions of data mining /
I whakaputaina: (2002)
I whakaputaina: (2002)
Instant data intensive apps with pandas how-to manipulate, visualize, and analyze your data with pandas /
mā: Hauck, Trent
I whakaputaina: (2013)
mā: Hauck, Trent
I whakaputaina: (2013)
Probability with applications in R /
mā: Dobrow, Robert P.
I whakaputaina: (2014)
mā: Dobrow, Robert P.
I whakaputaina: (2014)
Multi-relational data mining
I whakaputaina: (2006)
I whakaputaina: (2006)
Data mining for business applications
I whakaputaina: (2010)
I whakaputaina: (2010)
Data mining practical machine learning tools and techniques /
mā: Witten, I. H. (Ian H.)
I whakaputaina: (2005)
mā: Witten, I. H. (Ian H.)
I whakaputaina: (2005)
Basic data analysis for time series with R /
mā: Derryberry, DeWayne R.
I whakaputaina: (2014)
mā: Derryberry, DeWayne R.
I whakaputaina: (2014)
Mastering Splunk : optimize your machine-generated data effectively by developing advanced analytics with Splunk /
mā: Miller, James
I whakaputaina: (2014)
mā: Miller, James
I whakaputaina: (2014)
The art of R programming a tour of statistical software design /
mā: Matloff, Norman S.
I whakaputaina: (2011)
mā: Matloff, Norman S.
I whakaputaina: (2011)
R data visualization cookbook : over 80 recipes to analyze data and create stunning visualizations with R /
mā: Gohil, Atmajitsinh
I whakaputaina: (2015)
mā: Gohil, Atmajitsinh
I whakaputaina: (2015)
Lecture notes in data mining
I whakaputaina: (2006)
I whakaputaina: (2006)
Data mining and predictive analytics /
mā: Larose, Daniel T., me ētahi atu.
I whakaputaina: (2015)
mā: Larose, Daniel T., me ētahi atu.
I whakaputaina: (2015)
R object-oriented programming : a practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R /
mā: Black, Kelly
I whakaputaina: (2014)
mā: Black, Kelly
I whakaputaina: (2014)
Text mining applications and theory /
mā: Berry, Michael W.
I whakaputaina: (2010)
mā: Berry, Michael W.
I whakaputaina: (2010)
Fast data processing with Spark /
mā: Karau, Holden
I whakaputaina: (2013)
mā: Karau, Holden
I whakaputaina: (2013)
Data mining with decision trees theroy and applications /
mā: Rokach, Lior
I whakaputaina: (2008)
mā: Rokach, Lior
I whakaputaina: (2008)
R for dummies /
mā: De Vries, Andrie, me ētahi atu.
I whakaputaina: (2015)
mā: De Vries, Andrie, me ētahi atu.
I whakaputaina: (2015)
A course in statistics with R /
mā: Tattar, Prabhanjan, 1979-, me ētahi atu.
I whakaputaina: (2016)
mā: Tattar, Prabhanjan, 1979-, me ētahi atu.
I whakaputaina: (2016)
Data mining in time series databases
I whakaputaina: (2004)
I whakaputaina: (2004)
Ngā tūemi rite
-
Data mining applications with R /
mā: Zhao, Yanchang, 1977-
I whakaputaina: (2014) -
Business analytics and data mining with R
mā: Ledolter, Johannes
I whakaputaina: (2013) -
Data mining algorithms : explained using R /
mā: Cichosz, Pawel
I whakaputaina: (2015) -
Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms /
mā: Makhabel, Bater
I whakaputaina: (2015) -
Automated data collection with R : a practical guide to web scraping and text mining /
mā: Munzert, Simon
I whakaputaina: (2015)