[The local outliers mining system of celestial body spectrum based on constrained concept lattice]

It is one of the main goals in mankinds universe exploration to find unknown and particular celestial bodies. Data mining is an effective way of finding the spectrum data of unknown and particular celestial body in mass celestial body spectrum data. Constrained concept lattice, with characteristics of higher constructing efficiency, practicability and pertinency, is a new concept lattice structure. For local bias data of celestial body spectrum in characteristic subspace, the local outlier mining system of celestial body spectrum based on constrained concept lattice was designed and implemented by using VC++ 6.0 and Oracle 9i as developing tools. At the same time, its software architecture and function modules were outlined. Such key techniques for preprocessing celestial body spectrum data, the constructing method of constrained concept lattice, and the local outlier mining method were discussed in details. The running results show that the system is feasible and valuable for mining local bias data of celestial body spectrum in low dimensional characteristic subspace. Therefore, the system provides an effective means for finding the unknown and particular celestial bodies.