Abstract
Ever since the design and development of laptop computers work environment of managers, decision makers, engineers, scientists financial analysts, office workers and even students is no more limited to their offices, research labs field or class rooms. Their work space has expanded to unlimited dimensions. However the type of problems being handled by these individual's have also become far more complex. Business needs to be focused on global competitiveness, engineering is taking its own shapes in a variety of fields, and students are designing their own course plans. Under all these situations; one is required to make decisions based on mined data. Laptop computers have therefore become a basic need of professionals as well as non professionals for attending to their requirements. The decision for buying a particular laptop can either give a peace of mind to its user at the best price or may become the worst nightmare purchased an exorbitant price. Present research is focused on using data mining techniques to find a suitable laptop out of a huge range of manufacturers and brands available world wide. Major components considered for selecting a laptop are hard drive space, RAM, processing speed and price of various brands. A total of 100 different laptop brands specifications data was mined. A number of statistical tools were applied to provide the selection methodology of most suitable brand.