METHOD AND SYSTEM FOR DATA MINING IN HIGH DIMENSIONAL DATA SPACES

A computerized method and system for analyzing a multitude of items in a high dimensional (n-dimensional) data space Dn each described by n item features. The method uses a mining function f with at least one control parameter Pi controlling the target of the data mining function. The method selects a transformation function T for reducing dimensions of the n-dimensional space by space-filling curves mapping said n-dimensional space to a m-dimensional space (m<n). The method determines a transformed control parameter PT i controlling the target of the data mining function in the m-dimensional space. The method applies the selected transformation function T on the multitude Dn of items to create a transformed multitude Dm of items, executes the mining function f controlled by the transformed control parameter PT i on the transformed multitude of items Dm, and stores the result.