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KNIME and the Landscape of Tools for Business Analytics and Data Science
To keep up with the tremendous growth in the popularity of business analytics and data science that we have been experiencing in recent years (both in academia and industry), the tools used to implement these technologies have been evolving and expanding at an unprecedented pace. As shown in Figure 2.4 in Chapter 2, “Introduction to Predictive Analytics and Data Mining,” there are numerous software tools, ranging from commercial/paid to free/open source, from graphical workflow-type to language-based programming platforms. Some of these tools are cloud based, some are individual local installations, and some are both, providing local tools and complementary cloud-based ...
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