| Big Data for the Enterprise |
| Pages: 83-86 (4) | [Full Text] PDF (555 KB) |
| MD Alotaibi, AA Alshehri, AY Ghazwani, RA Darwesh, SA Alzahrani |
| Department of Management Information Systems, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Kingdom of Saudi Arabia |
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Abstract - This paper discusses big data for enterprise; an explanation is included on what it is and its benefit. Also, it mentions how Facebook takes advantage of big data and some useful tools to use for it like Tableau and Rapid Miner. |
| Index Terms - Big Data, Enterprise, Useful Tools, Tableau and Rapid Miner |
C itation - MD Alotaibi, AA Alshehri, AY Ghazwani, RA Darwesh, SA Alzahrani. "Big Data for the Enterprise." International Journal of Computer Networks and Communications Security 6, no. 5 (2018): 83-86. |
| Analysis of a Social Data Visualization Web Site: YouTube |
| Pages: 87-91 (5) | [Full Text] PDF (553 KB) |
| N Aljabr, G Alkalthm, RB abdulrhman, M Alhabdan |
| Department of Management Information Systems, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Kingdom of Saudi Arabia |
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Abstract - This research discusses and analyzes the idea of data visualization, its 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. |
| Index Terms - YouTube, Data Visualization, Data Mining, Clustering, Decision Tree |
C itation - N Aljabr, G Alkalthm, RB abdulrhman, M Alhabdan. "Analysis of a Social Data Visualization Web Site: YouTube." International Journal of Computer Networks and Communications Security 6, no. 5 (2018): 87-91. |
| Analysis of a Social Data Visualization Web Site: Twitter |
| Pages: 92-95 (4) | [Full Text] PDF (459 KB) |
| D Alwalmani, N Alanazi, M Alsadaan, M Alomar, M Aladaddh, R Alhumaidan |
| Department of Management Information Systems, Imam Abdurrahman Bin Faisal University (IAU), Dammam, Kingdom of Saudi Arabia |
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Abstract - Nowadays social media is a major intermediary to people communication whether for business or only entertainment. it is defiantly an effective way for exchanging different types of messages which of course influences people one way or another. Among many different social network websites and applications, we choose twitter. Twitter includes a huge number of users there for it contains a huge amount of data that are needed to be analyzed with the right tools to get the fuller picture of the data. For that purpose, we will present methods to accumulate the finding with an organized and easy to understand view using two of the business intelligence (BI) tools which are tableau and rapidminer that can be used by anyone whether an expert in analytics or a novice. In this paper we are giving a brief introduction on twitter and present some of the bigdata characteristics of a hashtags, related work to our subject and answer on the following questions, the purpose of choosing a hashtag to analyze, which hashtags we choose, why choosing them and what are the types of data used in the excel sheet. After that, we will show the result of the analysis used in both tools and demonstrate a collection of figures related to the findings. Then we concluded that data is not impossible to manage if the right tools were used. |
| Index Terms - Business Intelligence (BI), Tableau, Rapid Miner |
C itation - D Alwalmani, N Alanazi, M Alsadaan, M Alomar, M Aladaddh, R Alhumaidan. "Analysis of a Social Data Visualization Web Site: Twitter." International Journal of Computer Networks and Communications Security 6, no. 5 (2018): 92-95. |