Data Mining in an Electronic Poll (e-Poll) System

• Main Author: Md Razale @ T. Mariani, Mariani
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2004
• Subjects: ZA Information resources
• Online Access: http://utpedia.utp.edu.my/6963/1/2004%20-%20Data%20Mining%20in%20an%20Electronic%20Poll%20%28e-Poll%29%20System.pdf; http://utpedia.utp.edu.my/6963/
• Institution: Universiti Teknologi Petronas

This paper introduces the Final Year Project entitled Data Mining in an Electronic Poll (e-Poll) System, with the problem being how the use of Data Mining in an Online Poll System can help managers to obtain statistics of customer feedback or opinions to help achieve their company objectives. The project's objectives are to conduct study on the use of Data Mining for an e-Poll system and how it affects the decision of system owners, to design a Data Mart for the Poll that will allow effortless management of the system's information, and lastly, to produce a working prototype of the system that allows capturing and retrieval of poll participation information from store members. The procedures identified to accomplish these tasks are by going through literature sources to better understand the proper tools and technique in the development of the system, by observing current online polling systems and online stores, and by creating a functional prototype of the e-Poll system to capture poll participation information in order for analysis to be performed unto them using Data Mining tools. Through the development of this system, the author finds that Data Mining offers managers to transform their raw data into useful data, save time in uncovering data trends and analyze vast amounts of data at a time. Proper design of the Data Mart using Dimensional Modeling or Star Schema allows optimal query performance and greater understandability without any loss of information. The e-Poll design allows correlation of the poll participant's feedback to their personal information, allowing proper analysis and a gateway for managers to gather potentially important information from all or a sample of their customers, regardless of geographical boundaries and/or time. Keywords: Data mimng, e-Poll system, online stores, Data Mart, segmentation, classification, analysis.