Chart Key
Average Rating
Average rating based on reviews
Views
Number of total page views
Comparisons
Number of times compared to another product
Reviews
Total number of reviews on IT Central Station
Followers
Number of followers on IT Central Station
The total ranking of a product, represented by the bar length, is based on a weighted aggregate score. For Views, Comparisons, Reviews, and Followers the score is calculated as follows: The product with the highest count in each area gets the highest available score of 17.5 points. Every other product gets assigned points based on its total in proportion to the #1 product in that area. For example, if a product has 80% of the number of reviews compared to the product with the most reviews then the product's score for reviews would be 17.5% (weighting factor) * 80% = 14. For Average Rating, the maximum score is 30 points awarded linearly based on our rating scale of 1-10. If a product has fewer than ten reviews, then its average rating is less statistically significant. In these cases, the point contribution for Average Rating is reduced (one-third reduction in points for products with 5-9 reviews; two-thirds reduction for products with fewer than five reviews). Reviews that are more than 24 months old, as well as those written by resellers, are completely excluded from the ranking algorithm.
Most Views
From IT Central Station visitors
Most Compared
From IT Central Station visitors

Data Mining Reviews

Read reviews of Data Mining that are trending in the IT Central Station community:
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Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
242,687 professionals have used our research on 5,991 solutions.
Data mining report from it central station 2017 11 18 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
242,687 professionals have used our research on 5,991 solutions.
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Statistical Consultant
I am social psychological researcher with strong traditional research skills and a keen interest in statistics and real-world data. My objectives are: • Personal development – this includes further learning in the areas of statistics and mathematics, programming, big data, teaching, and data... more>>
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Chief Data Scientist & Principal Consultant, StatLabs® at Facts n Data™
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A leading expert in decision management and in the development of Decision Management Systems. Experienced working with business rules, predictive analytics and other decisioning technologies to improve operational systems. Published author - Decision Management Systems (IBM Press), Smart... more>>
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recognized industry leader in marketing technology and analytics. Independent consultant since 1987; long-time marketing software columnist in DM News and DM Review; frequent speaker at industry events; author of Guide to Demand Generation Systems www.raabguide.com and Marketing Performance... more>>

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