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Are you currently involved in a data mining project? Are you considering undertaking a data mining project for the first time? Regardless of your level of data mining experience, the SPSS Data Mining Tips guide will help you plan and execute your project. What types of data are used in data mining? Depending on your data mining tool, your project
can incorporate data from a wide range of sources. In fact, data mining projects often benefit from using several different types of data, each of which gives you additional insight into your area of study. How is data mining different from statistics? Data mining doesn’t replace statistics. In fact, statistics are a good complement to data
mining. Traditional statistical techniques, such as regression, are used alongside data mining technologies, such as neural networks. Statistics are also used to validate data mining results. Avoid the data dump, Create a deployment strategy, Develop a maintenance strategy, Translate business objectives into data mining tasks.

Tags : data mining project, data mining tutorial, deployment strategy, fact data, spss data, maintenance strategy, several different types, statistics data, statistical techniques, business objectives, neural networks, regression, complement, insight

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