A Hypergraph Model for Market Opportunity Discovery

Constructing support systems for market opportunity discovery in order to make it easier to identify and seize market opportunities has become an in-depth demand for many enterprises. We aim at the unsolved problems such as non-precision and semi-structured data sources, complex relationships, flexible structure, process support, et cetera, and redefine market opportunities as well as market opportunity discovery (MOD) from a cognitive point of view, and then propose a hyper graph model for MOD. Based on the model, we design some MOD decision support methods as pattern recognition, path analysis, and information absorption, after exploring the mechanism of prior knowledge in MOD process. We also put our model into the practice of commercial banks´ MOD activities and illustrate its validity and advantages.