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Case Studies on the Use of Data Mining Techniques in Data Science
Abstract
This chapter presents data science research conducted by authors Sarawut Ramjan and Jirapon Sunkpho, showcasing the use of RapidMiner to gather data from social networks. The research includes the analysis of customer satisfaction for mobile applications, predicting condominium prices in Bangkok, and discovering demand and supply patterns based on Thai social media data using the association rule mining approach. Additionally, the chapter touches on other topics such as corrosion under insulation severity classification for carbon steel in a marine environment and variables that influence pilot's safe driving. The chapter is beneficial for readers without data science experience and for businesses interested in employing data mining techniques. The research highlights that software application skills are not the only important factor, but also understanding the processes of data science, such as data exploration, data pre-processing, data mining, and data presentation, which are essential and useful skills.
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