Abstract
Sorting algorithms find their application in many fields. One of their main uses is to organize databases. Classical applications of sorting algorithms often can not cope satisfactorily with large data sets or with unfavorable poses of sorted strings. Typically, in such situations, we try to use other methods or apply sorting process to reshuffled input data. Unfortunately, this approach complicates sorting process and often results in significant prolongation of the time. In this paper, the authors examined an algorithm dedicated to the problem of sorting large scale data sets. In the literature, there are no studies of such examples. These studies will allow to describe the properties of sorting methods for large scale data sets. Performed tests have shown superior performance of the examined algorithm, especially for large scale data sets. Changes sped up sorting of data with any arrangement of the input elements.
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Woźniak, M., Marszałek, Z., Gabryel, M., Nowicki, R.K. (2013). Modified Merge Sort Algorithm for Large Scale Data Sets. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38610-7_56
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DOI: https://doi.org/10.1007/978-3-642-38610-7_56
Publisher Name: Springer, Berlin, Heidelberg
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