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A neural network for mining large volumes of time series data

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Title of host publicationIEEE International Conference on Industrial Technology (ICIT) 2005 (14-17 December 2005, City University of Hong Kong)
DatePublished - Dec 2005
Pages688-693
Number of pages5
PublisherIEEE
Place of PublicationNew York
Volume1-2
Original languageEnglish
ISBN (Print)0-7803-9484-4

Abstract

Efficiently mining large volumes of time series data is amongst the most challenging problems that are fundamental in many fields such as industrial process monitoring, medical data analysis and business forecasting. This paper discusses a high-performance neural network for mining large time series data set and some practical issues on time series data mining. Examples of how this technology is used to search the engine data within a major UK eScience Grid project (DAME) for supporting the maintenance of Rolls-Royce aero-engine are presented.

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