Case-based reasoning to support decision making for managing drinking water quality events in distribution systems

References

• Ashley, K.D., 1992. Case-based reasoning and its implications for legal expert systems. Artificial Intelligence and Law, 1, 113–208.
   Google Scholar
• Bates, A., 2000. Water as consumed and its impact on the consumer–do we understand the variables? Food and chemical toxicology, 38 (1), 29–36.
   Web of Science ®Google Scholar
• Besner, M.C., Gauthier, V., Barbeau, B., Millette, R., Chapleau, R., and Prevost, M., 2001. Understanding distribution system water quality. Journal American Water Works Association, 93 (7), 101–114.
   Web of Science ®Google Scholar
• Boyer, R.S. and Moore, J.S., 1977. A fast string searching algorithm. comm. ACM (New York, NY, USA: Association for Computing Machinery), 20 (10), 762–772.
   Web of Science ®Google Scholar
• Bradshaw, R., Gormley, A.M., Charrois, J.W., Hrudey, S.E., Cromar, N.J., Jalba, D., and Pollard, S.J.T., 2011. Managing incidents in the water utility sector – towards high reliability? Water Science and technology: water supply, 11 (5), 631–641.
   Web of Science ®Google Scholar
• Clarke, K.F., 2003. The British experience. In: D.E. Agthe, R.B. Billings and N. Buras, eds. Managing urban water supply. Netherlands: Kluwer Academic Publishers, 241–257.
   Google Scholar
• Cook, D.M., Boxall, J.B., Hall, S.J., and Styan, E., 2005. Structural integrity and water quality in water distribution networks. In: Proceedings of the 8th International Conference on Computing and Control for the Water Industry, CCWI 2005: Water Management for the 21st Century, University of Exeter, UK. Vol.2, 205–210.
   Google Scholar
• Data.gov.uk, 2014. Drinking Water Inspectorate (DWI) sequel database system [online], Retrieved from http://data.gov.uk/dataset/drinking-water-inspectorate-dwi-sequel-database-system [Accessed 10 January 2014].
   Google Scholar
• Davison, A., Howard, G., Stevens, M., Callan, P., Kirby, R., Deere, D., and Bartram, J., 2004. Water safety plans. Geneva: World Health Organisation.
   Google Scholar
• Delany, S.J., Cunningham, P., and Coyle, L., 2005. An assessment of case-based reasoning for spam filtering. Artificial Intelligence Review Journal, 24 (3–4), 359–378.
   Web of Science ®Google Scholar
• De Mantaras, R.L., Mcsherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., Faltings, B., Maher, M.L., Cox, M.T., Forbus, K., Keane, M., Aamodt, A., and Watson, I., 2005. Retrieval, reuse, revision and retention in case-based reasoning. Knowledge Engineering Review, 20 (3), 215–240.
   Web of Science ®Google Scholar
• DWI, 2002. Annex3: Definitions and glossary terms [online]. Retrieved from http://dwi.defra.gov.uk/about/annual-report/2002/annex3.pdf [Accessed 28 July 2012].
   Google Scholar
• Evans, W.A., 1994. Approaches to intelligent information retrieval. Information processing and management, 7 (2), 147–168.
   Google Scholar
• Fenner, R.A., McFarland, G., and Thorne, O., 2007. Case-based reasoning approach for managing sewerage assets. Proceedings of the Institution of Civil Engineers Water Management, 160, 15–24.
   Web of Science ®Google Scholar
• Gray, J., 2008. Water contamination events in UK drinking-water supply systems. Journal of Water and Health, 6 (1), 21–26.
   PubMed Web of Science ®Google Scholar
• Hunter, P., Andersson, Y., Von Bonsdorff, C., Chalmers, R., Cifuentes, R., Cifuentes, E., Deere, D., Endo, T., Kadar, M., Krogh, T., and Newport, L., 2003. Surveillance and investigation of contamination incidents and waterborne outbreaks. In: A. Dufour, M. Snozzi, W. Koster, J. Bartram, E. Ronchi and L. Fewtrell, eds. Assessing microbial safety of drinking water. Geneva: WHO OECD, 205–236.
   Google Scholar
• Kolodner, J.L., 1992. An introduction to case-based reasoning. Artificial Intelligence Review, 6 (1), 3–34.
   Web of Science ®Google Scholar
• Kolodner, J., 1993. Case-based reasoning. San Mateo, CA: Morgan Kaufmann.
   Google Scholar
• Kukuric, 2008. The i3s document series: Using ‘case based reasoning’ for the solution of water stress problems [online], Retrieved from http://i3s.aquastress.net/tools/CBR/Aquastress%20I3S-Case%20Based%20Reasoning%20Users%20Guide.pdf [Accessed 20 May 2012].
   Google Scholar
• Machell, J., Boxall, J.B., Saul, A.J., and Bramley, D., 2009. Improved representation of water age in distribution networks to inform water quality. Water Resources Planning and Management ASCE, 135 (5), 382–391.
   Web of Science ®Google Scholar
• Machell, J. and Boxall, J.B., 2012. Field studies and modeling exploring mean and maximum water age association to water quality in a drinking water distribution network. Water Resources Planning and Management ASCE, 138 (6), 624–638.
   Web of Science ®Google Scholar
• Policastro, C.A., Carvalho, A.C.P.L.F., and Delbem, A.C.B., 2004. A hybrid case based reasoning approach for monitoring water quality. Innovations in Applied Artificial Intelligence, Lecture Notes in Computer Science, 3029, 492–501.
   Web of Science ®Google Scholar
• Tian, Y., Liu, Y., and Liu, H., 2010. Measurement and analysis on biofilm bacteria of the pipe wall in water distribution system. In: IEEE 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). Chengdu, China: IEEE, 1–4. https://doi.org/http://dx.doi.org/10.1109/ICBBE.2010.5517982.
   Google Scholar
• Watson, I., 1999. Case-based reasoning is a methodology not a technology. Knowledge-Based Systems, 12 (5), 303–308.
   Web of Science ®Google Scholar
• Xu, L.D., 1994. Case based reasoning. Potentials, IEEE, 13 (5), 10–13.
   Google Scholar