With the development and operation of various large sky survey projects, how to improve and optimize the efficiency and scientific output of telescopes is a hot issue. Thus the careful preparation of survey programs and input catalogs are of great value. The development of robust data mining techniques for ground-based instruments (such as Chinese LAMOST telescope) is a key element in preselecting quasar candidates from other photometric surveys. Taking quantity and complexity of astronomical data into account, a large number of mining approaches are applied and compared to create the quasar targeting catalog. Each method has its merits and demerits.

Keywords: Catalogs; Methods statistical; Quasars: General; Survey

Biography: I major in classification and clustering of celestial objects, the multi-wavelength properties of all kinds of objects, cross-match multiwavelength catalog and data mining and knowledge discovery in astronomy.