In this paper, we propose a novel innovation Web-based Innovation Supporting System (ISS) to improve the idea creation process and enhance the innovation capability of human. Ideas are usually stored by low frequency or zero frequency information in the dataset so that product designers are always suffering from fewer creative ideas mining. Therefore, chance discovery theory is applied in this system. The Web-based ISS is a human-centric system to enable value cognition and goes by the following process: (1) scenario graph generation, (2) customer-centric innovators market game (C²IMG) including human value cognition, value co-creation as emerging creative ideas, and creative ideas evaluation. Firstly, a mining algorithm called data crystallization is used as an extension of chance discovery for dealing with unobservable events and generating a scenario graph. Secondly, a method of C2IMG is developed to aid humans' value cognition to scenario graph and speed up creating process of innovative ideas. Finally, the analytic result of case study shows people who apply this system can create more innovative ideas than those who do not. Moreover, additional interesting patterns that indicate are discovered as well. Notably, ISS system method can be regarded as an extension of traditional data mining and machine learning for discovering more patterns with higher accuracy especially under dynamic and complex system environments.