Analysis of Mobile Service Providers Performance Using Naive Bayes Data Mining Technique
| Autor: | Ali A. Mohammed, Nurul Izzaimah, Ronizam Ismail, M.A. Burhanuddin, Norzaimah Zainol |
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| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science Process (engineering) business.industry 05 social sciences Big data Telecommunications service 050801 communication & media studies computer.software_genre Visualization Naive Bayes classifier 0508 media and communications 0502 economics and business Customer satisfaction Data mining Electrical and Electronic Engineering business computer 050203 business & management Mobile service |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 8:5153 |
| ISSN: | 2088-8708 |
| DOI: | 10.11591/ijece.v8i6.pp5153-5161 |
| Popis: | Recently, the mobile service providers have been growing rapidly in Malaysia. In this paper, we propose analytical method to find best telecommunication provider by visualizing their performance among telecommunication service providers in Malaysia, i.e. TM Berhad, Celcom, Maxis, U-Mobile, etc. This paperuses data mining technique to evaluate the performanceof telecommunication service providers using their customers feedback from Twitter Inc. It demonstrates on how the system could process and then interpret the big data into a simple graph or visualization format. In addition, build a computerized tool and recommend data analytic model based on the collected result. From prepping the data for pre-processing until conducting analysis, this project is focusing on the process of data science itself where Cross Industry Standard Process for Data Mining (CRISP-DM) methodology will be used as a reference. The analysis was developed by using R language and R Studio packages. From the result, it shows that Telco 4 is the best as it received highest positive scores from the tweet data. In contrast, Telco 3 should improve their performance as having less positive feedback from their customers via tweet data. This project bring insights of how the telecommunication industries can analyze tweet data from their customers. Malaysia telecommunication industry will get the benefit by improving their customer satisfaction and business growth. Besides, it will give the awareness to the telecommunication user of updated review from other users. |
| Databáze: | OpenAIRE |
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