On the Solutions of the Big Data Timeliness Problem

Ebeid, Ramy and Salem, Ahmed and Senousy, M. B. (2019) On the Solutions of the Big Data Timeliness Problem. Asian Journal of Research in Computer Science, 4 (2). pp. 1-10. ISSN 2581-8260

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Big Data is increasingly used on almost the entire planet, both online and offline. It is not related only to computers. It makes a new trend in the decision-making process and the analysis of this data will predict the results based on the explored knowledge of big data using Clustering algorithms. The response time of performance and speed presents an important challenge to classify this monstrous data. K-means and big k-mean algorithms solve this problem. In this paper, researcher find the best K value using the elbow method, then use two ways in the first sequential processing and the second is parallel processing, then apply the K-mean algorithm and the big K-mean on shared memory to make a comparative study find which one is the best in different data sizes. The analysis performed by R studio environment.

Item Type: Article
Subjects: Eprints STM archive > Computer Science
Depositing User: Unnamed user with email admin@eprints.stmarchive
Date Deposited: 18 Apr 2023 08:18
Last Modified: 15 Sep 2023 04:20
URI: http://public.paper4promo.com/id/eprint/25

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