Details of Grant 

EPSRC Reference:	GR/R35018/01
Title:	Explaining Multivariate Time Series to Detect Early Problem Signs
Principal Investigator:	Liu, Professor X
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department:	Information Systems & Computing
Organisation:	Brunel University London
Scheme:	Standard Research (Pre-FEC)
Starts:	01 February 2002	Ends:	31 January 2004	Value (£):	100,974
EPSRC Research Topic Classifications:	Artificial Intelligence Intelligent & Expert Systems
EPSRC Industrial Sector Classifications:	Information Technologies
Related Grants:
Panel History:	Panel Date Panel Name Outcome 25 Apr 2001 Software Technologies 25/26 April Deferred
Summary on Grant Application Form
There has been a limited amount of work on the learning of explanation models directly from multivariate time series (MTS) data. This type of research is especially important for those applications where there is a wealth of MTS data but there is no well-established domain theory or rich body of relevant domain experience, and where detecting potential problems at an early stage is crucial. Over the last few years we have researched the issues related to the learning of such models and made important progress which calls for further investigation. This proposal aims to extend our current work into a coherent computational framework that is able to produce reliable and timely explanations from MTS data. This will be achieved by developing a number of advanced methods for learning efficient and reliable MTS explanation models, by integrating these methods into an effective computational framework, and by testing this framework on a variety of synthetic and real-world MTS data, including eye screening data from Moorfields Eye Hospital, oil refinery data from BP-Amoco, and virus gene expression data from the Windeyer Institute of Medical Sciences.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk Summary Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:
Further Information:
Organisation Website:	http://www.brunel.ac.uk