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Data dredging is the automated statistical analysis of large sets of data.This is similar to data mining with the key difference being that data mining starts with a hypothesis, or something that you expect to find in the data. Data dredging is an automated search for statistical patterns that doesn't start with a hypothesis. Data dredging tests large sets of data against known statistical models to generate matches. As such, it runs a risk of finding coincidental patterns in data that have no real meaning. In other words, it is a process of finding a pattern that fits the data rather than confirming a pattern with data. As such, data dredging is associated with ethical issues because it's an easy way to create a research paper that looks valid but is essentially auto generated. Nevertheless, the technique does have potential to discover patterns in data that have meaning.
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Function | | Definition | An automated search for statistical patterns in data. | Value | Pattern discovery as a starting point of analysis. | Risk | Data Dredging tends to produce patterns that exist by chance that have no meaning. In other words, results may lack significance. | Related Techniques | |
Statistical Analysis
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