@inproceedings{99f4290278e043119e7045c11434f9f2,
title = "Preprocessing large data sets by the use of quick sort algorithm",
abstract = "Sorting algorithms help to organize large amounts of data. However, sometimes it is not easy to determine the correct order in large data sets, especially if there are special poses on the input. It often complicates sorting, results in time prolongation or even unable sorting. In such situations, the most common method is to perform sorting process to reshuffled input data or change the algorithm. In this paper, the authors examined quick sort algorithm in two versions for large data sets. The algorithms have been examined in performance tests and the results helped to compare them.",
keywords = "Analysis of computer algorithms, Computer algorithm, Data mining, Data sorting",
author = "Marcin Wo{\'z}niak and Zbigniew Marsza{\l}ek and Marcin Gabryel and Nowicki, \{Robert K.\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 8th International Conference on Knowledge, Information, and Creativity Support Systems, KICSS 2013 ; Conference date: 07-11-2013 Through 09-11-2013",
year = "2016",
doi = "10.1007/978-3-319-19090-7\_9",
language = "English",
isbn = "9783319190891",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "111--121",
editor = "Janusz Kacprzyk and Janusz Kacprzyk and Skulimowski, \{Andrzej M.J.\} and Skulimowski, \{Andrzej M.J.\}",
booktitle = "Knowledge, Information and Creativity Support Systems",
address = "Germany",
}