SAS Enterprise Miner vs Weka

SAS Enterprise Miner is ranked 4th in Data Mining with 1 review vs Weka which is ranked 5th in Data Mining with 0 reviews. The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". SAS Enterprise Miner is most compared with IBM SPSS Modeler, KNIME and Oracle Advanced Analytics. Weka is most compared with KNIME, IBM SPSS Modeler and SAS Analytics.
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SAS Enterprise Miner
Weka
18261
29421
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Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
252,837 professionals have used our research since 2012.

Quotes From Members Comparing SAS Enterprise Miner vs Weka

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
252,837 professionals have used our research since 2012.
Ranking
RANKING
Views
5,657
Comparisons
4,102
Reviews
1
Followers
455
Avg. Rating
7.0
Views
4,908
Comparisons
3,798
Reviews
0
Followers
370
Avg. Rating
N/A
Top Comparisons
Top Comparisons
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Compared 28% of the time.
Ibm
Compared 16% of the time.
Sas
Compared 10% of the time.
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Also Known As
Also Known AsEnterprise Miner
Website/Video
Website/VideoSAS
  • Vendor 7934 screenshot 1515259222
Weka
  • Vendor 29286 screenshot 1514070347
OverviewQuestionmark icon
OverviewSAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Sample Customers
Sample CustomersGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Information Not Available
Top IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
29%
Non Tech Company
11%
University
11%
Insurance Company
7%
No Data Available
Company SizeQuestionmark icon
Company Size
VISITORS READING REVIEWS
Small Business
18%
Midsize Enterprise
25%
Large Enterprise
57%
No Data Available
Data mining report from it central station 2018 01 27 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
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252,837 professionals have used our research since 2012.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

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