DATA MINING APPLIED IN LAND USE CONTROL IN CITY-COUNTRY COMBINATIVE AREA
Shuliang Wang, Xinzhou Wang · 2000
This paper studies the concepts of city-country combinative area (CCCA), and how to apply data cleaning, and data mining in land use control in CCCA. A new data cleaning method named as Vectorizing Character-string and Matching Number (VCMN) is advanced, which can integrates multi-origin data. It is suggested that the control points be acquired with GPS-supported aerial triangulation, CCCA images be dealt with digital photogrammetry system before image databases come into being. Then all related land databases can be rebuilt up a data warehouse after data cleaning. In the network, online data mining is carried out in the light of constraint conditions. Finally, some Wuhan City CCCA knowledge is discovered with rough set.