Database Reference
In-Depth Information
Regardless of the mechanism you use to determine your ethical boundaries, our hope is that you
will always keep ethical behavior in mind when mining data. Remember the personal side of what
you are doing. As we began this topic, we talked about the desire to introduce the subject of data
mining to a new, non-traditional audience. We hope you are gaining confidence in your data
mining skills, and that your creativity is helping you to envision your own data mining solutions to
real-world problems you might be facing. Go exploring both within RapidMiner and through
other tools for ways to find unexpected and interesting patterns in your data. The purpose of this
book from the outset was to be a beginner's guide, a way to get started in data mining—even if you
don't have a background in computer science or data analysis. Hopefully through the chapter
examples and exercises, you've learned a lot and are well on your way to becoming an
accomplished, and ethical, data miner. You've learned enough to be dangerous…don't be. Apply
what you've learned to use data as a powerful and beneficial advantage. And so as we close this
book, let us do so as we began it: Let's start digging!