Abstract
A lot of data mining techniques are develop to handle large data sets. When applied on small data sets however they perform poorly. More often than not conclusions have to be drawn from relatively small data sets due to various reasons. Rough sets approximations can be applied in such situations since they do not need a critical amount of data in order to provide reliable results.
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Encheva, S. (2014). Multi Criteria Decision Making Related to Services. In: Park, J., Stojmenovic, I., Choi, M., Xhafa, F. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40861-8_16
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DOI: https://doi.org/10.1007/978-3-642-40861-8_16
Publisher Name: Springer, Berlin, Heidelberg
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