I am in the middle of reading The Handbook of Statistical Analysis and Data Mining Applications by Robert Nisbet, John Elder and Gary Miner.
Disclosure: Because I consider Gary Miner a friend, I decided to read the book. I am very glad that I did...
This book has clarified some basic high-level thoughts. For example page eight and nine talks about TWO VIEWS OF REALITY. There
If you are not certain which particular procedure within STATISTICA you should use for a specific problem, consult the Statistical Advisor.
It is easy to find stories about government using data mining for counter terrorism. But predictive analytics can be used for so many other reasons in the government.
Exploring regulatory compliance?
Trying to understand the important factors for a social policy?
Sometimes the data miner is trying to model "human behavior". There is risk with this approach
Anyone else remember "green bar" paper? Or maybe you still use it? I first used it about 18 years ago because I had a very wide report to print. The "green bar" made it much easier to read across the 14 7/8 inch paper.
You may have experienced a similar problem with STATISTICA spreadsheets. Maybe you have a hundred variables. You need to read across one line while scrolling. And you are having a tough time tracking one line with your eyes.
If you are using STATISTICA 9 there is an possible solution thanks to jthompson. You can execute a simple macro
Do you think the following Visual Basic code can be produced only by an experienced developer? Then read this example to see how any STATISTICA user can easily produce code like this!
StatSoft is making available a free Introduction to Data Mining using STATISTICA video series. The course is a set of 35 video tutorials covering both concepts and hands-on examples of data mining projects. The series starts with an overview of data mining and continues through the steps of typical data mining projects: data cleaning and preparation, model building and evaluation, and model deployment. The intent of this series is to familiarize you with data mining, so that you are empowered to start your own data mining projects. You will see the tools that are available and the output they produce with tips about interpreting it. The series will cover ...