Slika na naslovnici

QR koda

Discovering business intelligence using MicroStrategy 9 /

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Enriquez, Nelson
Drugi avtorji:	Rathore, Samundar Singh
Format:	Elektronski eKnjiga
Jezik:	angleščina
Izdano:	Birmingham : Packt Publishing, 2013.
Teme:	Business intelligence. Data mining. 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

Business intelligence with MicroStrategy cookbook /
od: Moraschi, Davide
Izdano: (2013)

Knowledge mining using intelligent agents
Izdano: (2011)

Business analytics taking business intelligence beyond reporting /
od: Laursen, Gert H. N.
Izdano: (2010)

Business intelligence and data mining /
od: Maheshwari, Anil, 1949-
Izdano: (2015)

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

Big data analytics turning big data into big money /
od: Ohlhorst, Frank, 1964-
Izdano: (2013)

Data mining for business applications
Izdano: (2010)

Process, data and classifier models for accessible supervised classification problem solving /
od: De Bruyne, Steven
Izdano: (2010)

Agent-based computing
Izdano: (2010)

Practical data analysis and reporting with BIRT use the open-source Eclipse-based business intelligence and reporting tools system to design and create reports as quickly as possible /
od: Ward, John
Izdano: (2008)

Big data MBA : driving business strategies with data science /
od: Schmarzo, Bill
Izdano: (2016)

The Kimball Group reader relentlessly practical tools for data warehousing and business intelligence /
od: Kimball, Ralph
Izdano: (2010)

Big data, big analytics emerging business intelligence and analytic trends for today's businesses /
od: Minelli, Michael, 1974-
Izdano: (2013)

Enhance your business applications simple integration of advanced data mining functions /
od: Baragoin, Corinne
Izdano: (2002)

Data virtualization for business intelligence architectures revolutionizing data integration for data warehouses /
od: Lans, Rick F. van der
Izdano: (2012)

Detection and intelligent systems for homeland security. /
Izdano: (2014)

Too big to ignore the business case for big data /
od: Simon, Phil
Izdano: (2013)

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)

Agile data warehousing project management business intelligence systems using Scrum /
od: Hughes, Ralph, 1959-
Izdano: (2012)

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

Next-generation sequencing and sequence data analysis /
od: Chiu, Kuo Ping
Izdano: (2015)

Instant Weka how-to
od: Kaluža, Boštjan
Izdano: (2013)

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

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

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

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

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

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

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

Security Informatics
od: Yang, Christopher C.
Izdano: (2010)

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

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

Building business intelligence applications with .NET
od: Ericsson, Robert
Izdano: (2004)

Business intelligence guidebook : from data integration to analytics /
od: Sherman, Rick
Izdano: (2015)

Data smart : using data science to transform information into insight /
od: Foreman, John W.
Izdano: (2014)

Business intelligence applied implementing an effective information and communications technology infrastructure /
od: Gendron, Michael S., 1957-
Izdano: (2013)

Multi-relational data mining
Izdano: (2006)

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

Customer relationship management using business intelligence
od: Sturdy, Graham R.
Izdano: (2012)

Oracle Business Intelligence 11g R1 cookbook make complex analytical reports simple and deliver valuable business data using OBIEE 11g with this comprehensive and practical guide /
od: Yilmaz, Cuneyt
Izdano: (2013)