TAILIEUCHUNG - Analysis of a social data visualization web site: Youtube

This research discusses and analyzes the idea of data visualization, it’s characteristics, important elements and the concept behind it. The ideal data visualization model must be visually appealing, expandable and accessible, also develop the accurate information. Many challenges found that face analysts such as the complexity of data, lack of knowledge and over-relying from the users. | International Journal of Computer Networks and Communications Security C VOL. 6, NO. 5, MAY 2018, 87–91 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) N C S Analysis of a Social Data Visualization Web Site: YouTube Najla Aljabr1, Ghadeer Alkalthm2, Rawya bin abdulrhman3 and Muneera Alhabdan4 Department of Management Information Systems, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Kingdom of Saudi Arabia ABSTRACT This research discusses and analyzes the idea of data visualization, it’s characteristics, important elements and the concept behind it. The ideal data visualization model must be visually appealing, expandable and accessible, also develop the accurate information. Many challenges found that face analysts such as the complexity of data, lack of knowledge and over-relying from the users. The research will specifically evaluate results of YouTube using tools like Tableau and Rapid Miner, focusing in the most famous channels in different industries, helping companies to select a target and choose the right segment where to view their advertisements, which results in an increase in profit in the long term. After selecting YouTube data for eight different industries in Saudi Arabia, Top ten channels were chosen based on views and subscribes, one more step is to compare the numbers of videos uploaded and the number of subscribers using the advanced tools mentioned above. In Rapid miner, the method used for analysis is the K-Means algorithm which searches for k groups, cluster and calculate their correlation coefficient, then determine the results of data evaluation process. Keywords: YouTube, Data Visualization, Data Mining, Clustering, Decision Tree. 1 INTRODUCTION Data visualization, it’s simply the appearance of data in graphical format, processing a huge amount of data in the fastest speed, it also could be interactive which means creating charts and graphs in more details and interactively deal with .

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• International Journal of Computer Networks and Communications Security
• Analysis of a social data visualization web site
• Knowledge and over relying
• The ideal data visualization model
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