Title: Design of an intelligent novelty detection application

Authors: Flora S. Tsai

Addresses: School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

Abstract: This paper describes the design and development of an intelligent data mining application for novelty detection. We describe our experience in applying recent research advances in novelty detection to practical situations. As most of the algorithms require complex matrix calculations, implementation and optimisation of the techniques are not trivial matters. The resulting system when adapting the design to the industrial settings makes use of intelligent novelty mining techniques that can fit the changing requirements of a real world organisation.

Keywords: intelligent data mining; software design; categorisation; novelty detection; novelty mining; information retrieval; document retrieval.

DOI: 10.1504/IJICA.2011.039594

International Journal of Innovative Computing and Applications, 2011 Vol.3 No.2, pp.105 - 116

Received: 09 Oct 2010
Accepted: 29 Nov 2010

Published online: 21 Mar 2015 *

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