Parallelization of frequent Itemset mining methods with FP-tree : an experiment with PrePost+ algorithm

المؤلفون المشاركون

Jamsheela, Olakara
Gopalakrishna, Raju

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 18، العدد 2 (31 مارس/آذار 2021)، ص ص. 208-213، 6ص.

الناشر

جامعة الزرقاء عمادة البحث العلمي

تاريخ النشر

2021-03-31

دولة النشر

الأردن

عدد الصفحات

6

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 212-213

رقم السجل

BIM-1430917