Omslagsbillede

QR Code

Predictive analytics and data mining : concepts and practice with rapidminer /

Saved in:

Bibliografiske detaljer
Main Authors:	Kotu, Vijay (Author), Deshpande, Bala (Author)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Waltham, Massachusetts : Elsevier Inc, 2015.
Fag:	Data mining > Data processing. Consumer behavior > Economic aspects. Electronic books.
Online adgang:	An electronic book accessible through the World Wide Web; click to view
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

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

Multi-relational data mining
Udgivet: (2006)

Data mining for business applications
Udgivet: (2010)

Data mining and predictive analysis intelligence gathering and crime analysis /
af: McCue, Colleen
Udgivet: (2007)

Data mining concepts and techniques /
af: Han, Jiawei
Udgivet: (2012)

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

Data mining and warehousing
af: Prabhu, S.
Udgivet: (2007)

Data analysis and data mining an introduction /
af: Azzalini, Adelchi
Udgivet: (2012)

Data mining for dummies /
af: Brown, Meta S.
Udgivet: (2014)

Data mining concepts and techniques /
af: Han, Jiawei
Udgivet: (2006)

Predictive analytics for dummies /
af: Bari, Anasse, et al.
Udgivet: (2014)

Commercial data mining : processing, analysis and modeling for predictive analytics projects /
af: Nettleton, David, 1963-
Udgivet: (2014)

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

Data mining techniques for marketing, sales, and customer relationship management /
af: Berry, Michael J. A.
Udgivet: (2004)

Data mining techniques for marketing, sales, and customer relationship management /
af: Linoff, Gordon S.
Udgivet: (2011)

Effective CRM using predictive analytics /
af: Chorianopoulos, Antonios
Udgivet: (2016)

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

Real-time analytics : techniques to analyze and visualize streaming data /
af: Ellis, Byron
Udgivet: (2014)

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

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

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

Data mining and management
Udgivet: (2010)

Data mining in finance advances in relational and hybrid methods /
af: Kovalerchuk, Boris
Udgivet: (2000)

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

Business analytics and data mining with R
af: Ledolter, Johannes
Udgivet: (2013)

Exploring data with Rapidminer /
af: Chisholm, Andrew
Udgivet: (2013)

Lecture notes in data mining
Udgivet: (2006)

Fundamentals of big data : network analysis for research and industry /
af: Lee, Hyunjoung, et al.
Udgivet: (2016)

Practical text mining and statistical analysis for non-structured text data applications
Udgivet: (2012)

Discovering knowledge in data an introduction to data mining /
af: Larose, Daniel T.
Udgivet: (2005)

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

Data mining in biomedicine using ontologies
Udgivet: (2009)

Data mining in time series databases
Udgivet: (2004)

Data mining and statistics for decision making
af: Tuffery, Stéphane
Udgivet: (2011)

Data preparation for data mining using SAS
af: Refaat, Mamdouh
Udgivet: (2007)

Data Warehousing OLAP and Data Mining /
af: Nagabhushana, S.
Udgivet: (2006)

Graph-theoretic techniques for web content mining
Udgivet: (2005)

Using OpenRefine : the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web /
af: Verborgh, Ruben, et al.
Udgivet: (2013)

Twitter data analytics /
Udgivet: (2014)

Pentaho analytics for MongoDB : combine pentaho analytics and MongoDB to create powerful analysis and reporting solutions /
af: Borland, Bo
Udgivet: (2014)