DocumentCode :
2622857
Title :
An Innovative Bucket Sorting Algorithm Based on Probability Distribution
Author :
Zhao, Zhongxiao ; Min, Chen
Author_Institution :
Dept. of Comput. & Inf. Sci., Fujian Univ. of Technol., Fuzhou, China
Volume :
7
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
846
Lastpage :
850
Abstract :
In a bucket sorting algorithm, the key to increase bucket sorting efficiency is how to uniformly distribute records into each "bucket". The data collected from empirical studies usually follow a certain probability distribution in a certain interval. To sort this kind of data, this paper proposed an innovative method through constructing a hash function based on its probability density function. Then n records can be allocated into n buckets uniformly according to the value of their key, which enables the sorting time of the proposed bucket sorting algorithm to reach O(n) under any circumstance.
Keywords :
file organisation; probability; sorting; hash function; innovative bucket sorting algorithm; probability density function; probability distribution; Computational complexity; Computer science; Density functional theory; Distributed computing; Information science; Partitioning algorithms; Probability density function; Probability distribution; Sorting; Upper bound; Bucket Sorting; Probability Distribution; algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.376
Filename :
5170434
Link To Document :
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