Selecting a sports car through data mining of critical features

Sports cars enthusiasts are always on a look out for the best mix of performance and price parameters for selection of their dream cars. They normally wish to enjoy the rush of adrenaline at top speeds and aspire to have most economic solutions for their selection. Their decision making process gets seriously hampered when sports cars manufacturers are unable to meet best choices at acceptable prices. Advances in technologies add to problems of designers and enhance expectations of buyers to receive even better features in cars. The overall problem is seen as a difficulty in decision making both for buyers and automakers. A host of marketing companies and media managers are involved in launching advertising campaigns for these cars which further aggravates the problems of decision making in sports car selection. This research was focused on providing a methodology of selecting a car by analyzing the data available for various critical parameters such as price, top speed, engine size and brake horsepower information to buyers for making optimum choices. Data of over 100 different makes of sports cars was collected for these parameters. It was then analyzed to arrive at possible choices a buyer could make on the basis of his/her preferred criteria. A total of 5 cars were shortlisted as the best possible choices considering these parameters.