Badges
70 Points
6 Years
User Activity
Over 2 years ago
Contributed a review of IBM SPSS Statistics: Is stable, easy to install, and can handle large datasets
About 3 years ago
Answered a question: When evaluating Message Queue, what aspect do you think is the most important to look for?
I have not used it - sorry
About 3 years ago
Answered a question: What Data Science Platform is best suited to a large-scale enterprise?
I suspect that I cannot answer this. I have used Knime and RapidMiner with data sets that have had up to about 80,000 rows and 1,500 columns and both have performed well. However, I doubt whether the questioner would classify my usage as "large amounts of data". If my usage…
Over 3 years ago
Answered a question: What is the easiest to use analytics platform?
I have found both Knime and RapidMiner easy to use and powerful. That applies to producing numerical output, graphical representations, and PMML files. The latter helps if one wishes to produce diagnostic or recommender systems automatically, with no human intervention…
Almost 5 years ago
Answered a question: What is the biggest difference between IBM SPSS Modeler and KNIME?
I used IBM Modeler several years ago and found it to be effective, but expensive. Fortunately, it was for a commercially funded contract
For KNIME I have only used it for experimental purposes and found it rather cumbersome but powerful. It is also more cost-effective.
I…
Over 6 years ago
Answered a question: When evaluating Data Mining, what aspect do you think is the most important to look for?
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…
Experience
Following
Reviews
Answers
About 3 years ago
Message Queue (MQ) Software
About 3 years ago
Data Science Platforms
Over 6 years ago
Data Mining
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About me
Application of scientific methods to social and medical problems - statistical analyses, expert systems, machine learning. I have developed a number of novel methods of making social research replicable.
Specialties: Data analysis, SPSS, Answer Tree, STAS, various rule-based and case-based expert system packages (they change over time as the technology develops)
