2015-10-25 12:49:45 UTC

When evaluating Data Mining, what aspect do you think is the most important to look for?


Let the community know what you think. Share your opinions now!

Guest
44 Answers
Real User

Safeguarding naive users against erroneous reporting from not knowing the statistical assumptions underlying a given technique i.e. I am agreeing with Nicholas Kogan.

After that, the order of importance of features depends on the use, and on who the user will be. The system does need to cover the whole workflow life-cycle. Fortunately, most of the widely-used systems do offer that.

2018-07-10 08:50:42 UTC10 July 18
Real UserTOP 5LEADERBOARD

Ability to import many different data sources across platforms. Reliable name in the industry. Good knowledgeable support staff. Good GUI. Good presentation ability.

2018-03-30 18:32:35 UTC30 March 18
Real UserTOP 20

Methodological transparency with accessible evaluation tools to prevent the black-box effect.

2017-10-03 14:53:54 UTC03 October 17
Consultant

Ease of use to do cluster analysis as well as anomaly and dependency detection.

2016-03-14 12:36:15 UTC14 March 16
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: August 2019.
366,090 professionals have used our research since 2012.
Sign Up with Email