Slika na naslovnici

QR koda

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

Shranjeno v:

Bibliografske podrobnosti
Main Authors:	Kotu, Vijay (Author), Deshpande, Bala (Author)
Format:	Elektronski eKnjiga
Jezik:	angleščina
Izdano:	Waltham, Massachusetts : Elsevier Inc, 2015.
Teme:	Data mining > Data processing. Consumer behavior > Economic aspects. Electronic books.
Online dostop:	An electronic book accessible through the World Wide Web; click to view
Oznake:	Označite Brez oznak, prvi označite!

Podobne knjige/članki

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

Multi-relational data mining
Izdano: (2006)

Data mining for business applications
Izdano: (2010)

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

Data mining concepts and techniques /
od: Han, Jiawei
Izdano: (2012)

Data mining and warehousing
od: Prabhu, S.
Izdano: (2007)

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

Data analysis and data mining an introduction /
od: Azzalini, Adelchi
Izdano: (2012)

Data mining for dummies /
od: Brown, Meta S.
Izdano: (2014)

Data mining concepts and techniques /
od: Han, Jiawei
Izdano: (2006)

Predictive analytics for dummies /
od: Bari, Anasse, et al.
Izdano: (2014)

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

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

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

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

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

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

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

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

Effective CRM using predictive analytics /
od: Chorianopoulos, Antonios
Izdano: (2016)

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

Data mining and management
Izdano: (2010)

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

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

Business analytics and data mining with R
od: Ledolter, Johannes
Izdano: (2013)

Exploring data with Rapidminer /
od: Chisholm, Andrew
Izdano: (2013)

Lecture notes in data mining
Izdano: (2006)

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

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

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

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

Data mining in biomedicine using ontologies
Izdano: (2009)

Data mining in time series databases
Izdano: (2004)

Data mining and statistics for decision making
od: Tuffery, Stéphane
Izdano: (2011)

Data preparation for data mining using SAS
od: Refaat, Mamdouh
Izdano: (2007)

Data Warehousing OLAP and Data Mining /
od: Nagabhushana, S.
Izdano: (2006)

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

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

Twitter data analytics /
Izdano: (2014)

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