Technology Opportunity Discovery Model using Typical Features and Decision Trees
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Accurate analysis of large amounts of information about the discovery of new opportunities with them and the researchers, government agencies and businesses in areas as diverse as the very important business in the future planning takes a lot of effort and time. In this paper, a more systematic, objective scientific analysis of information technology and IT sectors, and provide a new field discovery and selection techniques and quality for forward-looking decision tree model to identify opportunities for utilizing technology (TOD Model) and is proposed. TOD model consists of TLCD models and ETD models, TLCD models promising of the technologies being utilized to determine the steps, ETD model is used to identify promising technologies. In this paper, we propose also to validate the model with the results of Gartner prediction model for comparative evaluation is performed through simulation. As a result, TLCD models shows 84% accuracy compared to the Gartner model and ETD model shows the 82% predictive accuracy.