Parallelization of frequent Itemset mining methods with FP-tree : an experiment with PrePost+ algorithm
Joint Authors
Jamsheela, Olakara
Gopalakrishna, Raju
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 2 (31 Mar. 2021), pp.208-213, 6 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-03-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
Parallel processing has turn to be a common programming practice because of its efficiency and thus becomes an interesting field for researchers.
With the introduction of multi- core processors as well as general purpose graphics processing units, parallel programming has become affordable.
This leads to the parallelization of many of the complex data processing algorithms including algorithms in data mining.
In this paper, a study on parallel PrePost+ is presented.
PrePost+ is an efficient frequent itemset mining algorithm.
The algorithm has been modified as a parallel algorithm and the obtained result is compared with the result of sequential PrePost+ algorithm.
American Psychological Association (APA)
Jamsheela, Olakara& Gopalakrishna, Raju. 2021. Parallelization of frequent Itemset mining methods with FP-tree : an experiment with PrePost+ algorithm. The International Arab Journal of Information Technology،Vol. 18, no. 2, pp.208-213.
https://search.emarefa.net/detail/BIM-1430917
Modern Language Association (MLA)
Jamsheela, Olakara& Gopalakrishna, Raju. Parallelization of frequent Itemset mining methods with FP-tree : an experiment with PrePost+ algorithm. The International Arab Journal of Information Technology Vol. 18, no. 2 (Mar. 2021), pp.208-213.
https://search.emarefa.net/detail/BIM-1430917
American Medical Association (AMA)
Jamsheela, Olakara& Gopalakrishna, Raju. Parallelization of frequent Itemset mining methods with FP-tree : an experiment with PrePost+ algorithm. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 2, pp.208-213.
https://search.emarefa.net/detail/BIM-1430917
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 212-213
Record ID
BIM-1430917