Facebook Friendship Suggestion Model Based on Data Analysis and Visualization DOI
Hebatullah Khattab, Ala’a Al-Shaikh

Published: Dec. 6, 2023

Social media (SM) gained the enormous attention of many researchers due to ubiquitous role it plays in people's lives. network sites (SNSs) became most active platforms for people spread their ideas, thoughts, news, etc. Facebook is an SNS that sits on top SM arena largest number users has among other platforms. An interesting feature list suggested friends which helps find new friends. In this paper, a model developed help decide whom accept friend requests. The allows user rank depending set features. exploits power visualization evaluate relevance some features as well selecting minimal decision-making process, i.e., selection. Each given based responses were taken from 1000 participants who answered questionnaire was specially designed measure importance each feature. participants' analyzed statistically with data visualization. A selection process followed analysis select influential tested using tool fit proposed model. At end, evaluated, and computed accuracy models more than 80%.

Language: Английский

Dhcm: a dynamic hierarchy coordination mechanism for memory optimization DOI Creative Commons
Juan Fang, Jingjing Li,

Ziyi Teng

et al.

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(5)

Published: April 10, 2025

Language: Английский

Citations

0
A proposed model for enhancing e-bank transactions: an experimental comparative study DOI Open Access
Wael Alzyadat,

Ameen Shaheen,

Ala’a Al-Shaikh

et al.

Indonesian Journal of Electrical Engineering and Computer Science, Journal Year: 2024, Volume and Issue: 34(2), P. 1268 - 1268

Published: March 23, 2024

In this paper, we introduce a novel approach to address the dynamic prediction of customer activity in electronic payment transactions for individual clients. Our is founded on online transaction records from registered UK-based retailers between 01/12/2009 and 09/12/2011. These primarily specialize unique gift items various occasions, catering wide range clients, including wholesalers. We used classification analysis based correlation coefficient measure describe customer's capability quality products they purchase. Furthermore, trained multi-layered models (linear model, deep learning, random forest, support vector machines (SVM)) capture dynamics e-bank reinforcement retail customers using machine learning. Real data UK retailer was employed our study. The experimental results consistently demonstrated effectiveness proposed strategy.

Language: Английский

Citations

2
Wearable Processors Architecture: A Comprehensive Analysis of 64-bit ARM Processors DOI Open Access

Ameen Shaheen,

Wael Alzyadat, Ala’a Al-Shaikh

et al.

International Journal of Interactive Mobile Technologies (iJIM), Journal Year: 2024, Volume and Issue: 18(13), P. 82 - 95

Published: July 12, 2024

Wearable devices are playing an important role in our daily lives. Nowadays, wearable have transformative implications for health, technology, connectivity, humancomputer interaction, and data analytics. Their importance lies their ability to enhance various aspects of life contribute the ongoing evolution digital landscapes. At heart smartwatch design, processor takes center stage, driving majority advancements technology. This paper presents experimental comparative study ARM 64-bit processors, analyzing performance impact on power consumption, CPU usage, battery temperature. We evaluate characteristics four processors: Snapdragon W5+, Wear4100, Exynos W920, W930. All those smartwatches equipped with processors. Our results indicate that none selected excelled all aspects; each exhibits superiority over others specific features while being surpassed by different attributes.

Language: Английский

Citations

0
Facebook Friendship Suggestion Model Based on Data Analysis and Visualization DOI
Hebatullah Khattab, Ala’a Al-Shaikh

Published: Dec. 6, 2023

Social media (SM) gained the enormous attention of many researchers due to ubiquitous role it plays in people's lives. network sites (SNSs) became most active platforms for people spread their ideas, thoughts, news, etc. Facebook is an SNS that sits on top SM arena largest number users has among other platforms. An interesting feature list suggested friends which helps find new friends. In this paper, a model developed help decide whom accept friend requests. The allows user rank depending set features. exploits power visualization evaluate relevance some features as well selecting minimal decision-making process, i.e., selection. Each given based responses were taken from 1000 participants who answered questionnaire was specially designed measure importance each feature. participants' analyzed statistically with data visualization. A selection process followed analysis select influential tested using tool fit proposed model. At end, evaluated, and computed accuracy models more than 80%.

Language: Английский

Citations

0