GIS Visualization Support to the C4.5 Classification Algorithm of KDD
Gennady Andrienko, Natalia V. Andrienko · 2013
Methods of Knowledge Discovery in Databases (KDD) are used for finding regularities and dependencies in collections of attribute data. These methods can be applied, in particular, to data referring to spatial objects. However, the general KDD methods do not make any respect of the spatial aspect of the data, and results of application of these methods are completely aspatial. Hence, to enable effective analysis of spatially referenced data, KDD methods should be supplemented by visualization of source data and obtained results in maps. An interactive map with special manipulation facilities allows the user to form input for a KDD algorithm that reflects certain aspects of spatial distribution of data in the appropriate for this algorithm form. A visualization module capable of automatic map generation enables viewing results of KDD procedures in the spatial context. The paper demonstrates a synergy of KDD and cartographic visualization achieved by integration of a KDD system KEPLER and...