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Identify a commercial data mining software product (e.g., SAS) and an open-source data mining product (e.g.,...

Identify a commercial data mining software product (e.g., SAS) and an open-source data mining product (e.g., R). Based on objective reviews of each (e.g., Gartner), compare and contrast the two products.

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Commercial Data mining software products(e.g SAS)

Commercial data mining software that are currently available are

i) Periscope Data

ii) Neural Designer

iii) RapidMiner Studio

iv) KNIME Analytics Platform

v) Dataiku DSS

vi) Microsoft SQL Server Integration Services

vii) Lavastorm Analytics Engine

viii) IBM SPSS Modeler

ix) SAS Enterprise Miner

x) Oracle Data Mining ODM

xi) Angoss Predictive

Open Source Data mining software products(e.g R)

Open source data mining software that are currently available are

i) Weka

ii) Rapid Miner

iii) Orange

iv) Knime

v) DataMelt

vi) Apache Mahout

vii) ELKI

Compare and contrast between SAS and R

SAS: SAS is uncontested market leader in the scope of Financial Analytics(FA). SAS program offers outstanding statistical functions of well defined variety with Graphical User Interface(GUI) for independent user to enable quick learning and supplies technical support. It is much expensive and not updated with statistical functions.

R: R is a counterpart of SAS's open source that has applied to university professor and researchers across the globe. R open source framework quickly releases update in time. There are huge amount of documentation accessible over internet is available at descent price.

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