The data mining process involves identifying an appropriate data set to "mine" or sift through to discover data content relationships. DSS developers sometimes incorporate results from data mining into operational decision support systems (DSS). Many data miners hope to find "hidden" patterns or relationships that can be used to predict future behavior. The goal of data mining is to find interesting and relevant patterns in a set of data. Data mining is both a process and a set of tools. In general, data mining is a group of analytical methods like neural networks, genetic algorithms, and decision trees, that help people conduct computerized searches for patterns in a data set. Academics tend to use the related terms Knowledge Discovery and Intelligent Decision Support Methods (Dhar and Stein, 1997) or more derogatory terms like data surfing or data dredging. "Big data" and analytics has led to a renewed and expanded interest in data mining technologies.
What is data mining and how is it related to DSS?ĭata mining is a data analysis innovation first discussed in the 1990s.
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