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All Journal Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Mostafa Abdulghafoor Mohammed
Imam Aadham University College
Computer Science & IT Electrical & Electronics Engineering

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Journal : Perfecting a Video Game with Game Metrics

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Large scale data analysis using MLlib Ahmed Hussein Ali; Maan Nawaf Abbod; Mohammed Khamees Khaleel; Mostafa Abdulghafoor Mohammed; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 5: October 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i5.21059

Abstract

Recent advancements in the internet, social media, and internet of things (IoT) devices have significantly increased the amount of data generated in a variety of formats. The data must be converted into formats that is easily handled by the data analysis techniques. It is mathematically and physically expensive to apply machine learning algorithms to big and complicated data sets. It is a resource-intensive process that necessitates a huge amount of logical and physical resources. Machine learning is a sophisticated data analytics technology that has gained in importance as a result of the massive amount of data generated daily that needs to be examined. Apache Spark machine learning library (MLlib) is one of the big data analysis platforms that provides a variety of outstanding functions for various machine learning tasks, spanning from classification to regression and dimension reduction. From a computational standpoint, this research investigated Apache Spark MLlib 2.0 as an open source, autonomous, scalable, and distributed learning library. Several real-world machine learning experiments are carried out in order to evaluate the properties of the platform on a qualitative and quantitative level. Some of the fundamental concepts and approaches for developing a scalable data model in a distributed environment are also discussed.
Co-Authors Ahmed Hussein Ali Ahmed Hussein Ali Ahmed Hussien Ali Maan Nawaf Abbod Mohammad Aljanabi Mohammed Khamees Khaleel Mostafa Mahmood Akawee Mustafa Mahmood Akawee Nada Thanoon Ahmed Nadia Mahmood Hussien Nadia Mahmood Hussien Raed Abdulkareem Hasan Royida A. Ibrahem Alhayali Russul Hayder Shatha Talib Sundos Abdulameer Alazawi Tole Sutikno Yasmin Makki Mohialden Yasmin Makki Mohialden Ziyad Hussien Saleh