Data processing apparatus and method for automatically generating a classification component

Abstract

Data processing apparatus operative (100) to generate a classification component (106) is disclosed. The data processing apparatus is configured to provide a template classifier bank (1001) comprising a plurality of classifier modules (1004), each classifier module operative to receive training data comprising data elements having one of two or more known class affiliations and to output a class affiliation estimate value for each input data element. The data processing apparatus is further configured to derive a combination of the class affiliation estimate values providing a highest correlation to the two or more known class affiliations, and to generate a classification component formed of a resultant classifier bank comprising a combination of the plurality of classifier modules corresponding to the combination of estimate values providing the highest correlation.

Description

FIELD[0001]The present invention relates to data processing apparatus and a method, in particular but not exclusively for automatically generating a classification component.INTRODUCTION[0002]There are many different applications (domains) where the automated classification of data is utilised or desirable. One example is homeland security, where different types of security threats may be present either simultaneously or separately. The disparate nature of the threats in the homeland security domain makes new demands on the requirements for automated decision making. Threats in homeland security are broadly characterized as Nuclear, Radiological, Biological or Chemical. Each of these domains is characterized by a wide variety of different sensors and different operational regimes. Consequently, the resultant threat profiles are associated with widely different data characteristics. Furthermore, the nature of threats is expected to be constantly evolving as a consequence of the inter...

AI Technical Summary

Benefits of technology

[0029]remove from said sub-set data elements having a contribution to the representation of said multivariate data set by said sub-set less than a second threshold value to form a final data set representative of said multivariate data set with a reduced number of sources of error.

[0030]Such an arrangement provides a feature selection and extraction process which reduces the amount of data to a data set having fewer members than the original data set which may reduce the sources of error.

Problems solved by technology

Furthermore, the nature of threats is expected to be constantly evolving as a consequence of the interplay between improved detection technology and increasing sophistication of the perpetrators causing the security threat.

Homeland security presents a uniquely challenging environment for automated decision systems.

This saves time, cost and effort in designing classification systems.

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