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Your search keyword '"Arkan A. G. Al-Hamodi"' showing total 2 results
Start Over Author "Arkan A. G. Al-Hamodi" Topic 020901 industrial engineering & automation
2 results on '"Arkan A. G. Al-Hamodi"'

1. A Particle Swarm Optimization Based on Multi Objective Functions with Uniform Design

Author

Songfeng Lu, Arkan A. G Al-Hamodi, Yahya E. A. Al-Salhi, and Adel H. Al-Mter

Subjects
0209 industrial biotechnology, Mathematical optimization, 020901 industrial engineering & automation, Computer science, Uniform design, 0202 electrical engineering, electronic engineering, information engineering, Particle swarm optimization, 020201 artificial intelligence & image processing, 02 engineering and technology, Multi-swarm optimization, Metaheuristic
Published
2016

2. MapReduce Frequent Itemsets for Mining Association Rules

Author

Arkan A. G. Al-Hamodi and Song-Feng Lu

Subjects
Consumption (economics), 0209 industrial biotechnology, Association rule learning, Computer science, 02 engineering and technology, computer.software_genre, Execution time, Statistical classification, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Algorithm design, Data mining, Database transaction, computer
Abstract

Frequent Patterns generation takes much time to execute, compute and the efficiency is less with massive datasets. In this paper, the enhanced FP-Growth (EFP-Growth) based on MapReduce framework using Hadoop approach has been proposed. The new method has high achieving performance with different minimum support. The EFP-growth can works with the large amount of datasets to discover a frequent patterns in a transaction database. With EFP-Growth, many challenges has been solved, to mine frequent patterns such as large memory consumption, high I/O cost, high time and space complexity. In the proposed method, the execution time under different minimum supports and large datasets is decreased.

Published
2016

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