Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Aug 10, 2023
It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Apr 10, 2024
The hardest part is keeping a tidy workspace because of the many nodes involved. When teaching, it would be helpful if there was more emphasis on how to group nodes effectively. For example, turning frequently used nodes into a single component can simplify things.
The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Aug 10, 2023
Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself.
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Apr 10, 2024
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data.
One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well.
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Jan 10, 2023
One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful.
