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Top 8 Data Mining Tools

KNIMEIBM SPSS StatisticsIBM SPSS ModelerSAS Enterprise MinerWekaSAS AnalyticsOracle Advanced AnalyticsIBM Watson Explorer
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    I was able to apply basic algorithms through just dragging and dropping.The solution is good for teaching, since there is no need to code.
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    The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it.
  3. Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: October 2021.
    542,721 professionals have used our research since 2012.
  4. The supervised models are valuable. It is also very organized and easy to use. You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.
  5. I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.
  6. There are many options where you can fill all of the data pre-processing options that you can implement when you're importing the data. You can also normalize the data and standardize it in an easier way.
  7. It's very easy to use once you learn it.The technical support is okay.
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  9. When needed, we will work closely with Oracle support and implement their workaround in our application. The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic.
  10. I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer.
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: October 2021.
542,721 professionals have used our research since 2012.