Analytical Techniques Help Enhance the Results of Data Mining: Case Study of Cow Insemination
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Once we have the information about the system, information coming from measurements and from expert estimates, we use this information to come up with a model describing the system. The usual way to come up with such a model is to formulate several different hypotheses and to select the one that best fits the data. Techniques for formulating hypotheses based on the available information are known as data mining techniques. When the amount of data is not sufficient to make statistically justified conclusions, the dependencies produced by data mining techniques are often caused by accidental coincidences and do not reflect the actual behavior of the corresponding system.
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