{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T16:35:40Z","timestamp":1771000540501,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319904023","type":"print"},{"value":"9783319904030","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-90403-0_18","type":"book-chapter","created":{"date-parts":[[2018,6,7]],"date-time":"2018-06-07T11:41:29Z","timestamp":1528371689000},"page":"363-383","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge"],"prefix":"10.1007","author":[{"given":"Bang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lelin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianlong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,8]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0099421","volume-title":"Exchangeability and Related Topics","author":"DJ Aldous","year":"1985","unstructured":"Aldous, D.J.: Exchangeability and Related Topics. Springer, Berlin (1985)"},{"key":"18_CR2","volume-title":"Pipeline reliability: Stochastic Models in Engineering Technology and Management","author":"AG Constantine","year":"1996","unstructured":"Constantine, A.G.: Pipeline reliability: Stochastic Models in Engineering Technology and Management. World Scientific, Singapore (1996)"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Cox, D.R.: Regression models and life-tables. In: Journal of the Royal Statistical Society. Series B Methodological, pp. 187\u2013220. (1972)","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1214\/aos\/1176342360","volume":"1","author":"TS Ferguson","year":"1973","unstructured":"Ferguson, T.S.: A bayesian analysis of some nonparametric problems. Ann. Stat. 1, 209\u2013230 (1973)","journal-title":"Ann. Stat."},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.1214\/aos\/1176347749","volume":"18","author":"NL Hjort","year":"1990","unstructured":"Hjort, N.L.: Nonparametric bayes estimators based on beta processes in models for life history data. Ann. Stat. 18, 1259\u20131294 (1990)","journal-title":"Ann. Stat."},{"key":"18_CR6","unstructured":"Hoffman, M.D., Blei, D.M., Cook, P.R.: Content-based musical similarity computation using the hierarchical dirichlet process. In: ISMIR, pp. 349\u2013354 (2008)"},{"issue":"16","key":"18_CR7","doi-asserted-by":"publisher","first-page":"6263","DOI":"10.1073\/pnas.0508279103","volume":"103","author":"JP Huelsenbeck","year":"2006","unstructured":"Huelsenbeck, J.P., Jain, S., Frost, S.W., Pond, S.L.K.: A dirichlet process model for detecting positive selection in protein-coding dna sequences. Proc. Natl. Acad. Sci. 103(16), 6263\u20136268 (2006)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Ibrahim, J.G., Chen, M.H., Sinha, D.: Bayesian Survival Analysis. Wiley Online Library (2005)","DOI":"10.1002\/0470011815.b2a11006"},{"issue":"2","key":"18_CR9","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1139\/l85-030","volume":"12","author":"A Kettler","year":"1985","unstructured":"Kettler, A., Goulter, I.: An analysis of pipe breakage in urban water distribution networks. Can. J. Civil Eng. 12(2), 286\u2013293 (1985)","journal-title":"Can. J. Civil Eng."},{"key":"18_CR10","unstructured":"Li, B., Zhang, B., Li, Z., Wang, Y., Chen, F., Vitanage, D.: Prioritising water pipes for condition assessment with data analytics. OzWater (2015)"},{"issue":"1","key":"18_CR11","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/s10994-013-5386-z","volume":"95","author":"Z Li","year":"2014","unstructured":"Li, Z., Zhang, B., Wang, Y., Chen, F., Taib, R., Whiffin, V., Wang, Y.: Water pipe condition assessment: a hierarchical beta process approach for sparse incident data. Mach. Learn. 95(1), 11\u201326 (2014)","journal-title":"Mach. Learn."},{"key":"18_CR12","unstructured":"Mavin, K.: Predicting the failure performance of individual water mains. Urban Water Research Association of Australia (114) (1996)"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Paisley, J., Carin, L.: Nonparametric factor analysis with beta process priors. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 777\u2013784. ACM (2009)","DOI":"10.1145\/1553374.1553474"},{"issue":"3","key":"18_CR14","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/S1462-0758(01)00032-2","volume":"3","author":"B Rajani","year":"2001","unstructured":"Rajani, B., Kleiner, Y.: Comprehensive review of structural deterioration of water mains: physically based models. Urban Water 3(3), 151\u2013164 (2001)","journal-title":"Urban Water"},{"issue":"5","key":"18_CR15","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1002\/j.1551-8833.1979.tb04345.x","volume":"71","author":"U Shamir","year":"1979","unstructured":"Shamir, U., Howard, C.: An analytic approach to scheduling pipe replacement. Am. Water Works Assoc. 71(5), 248\u2013258 (1979)","journal-title":"Am. Water Works Assoc."},{"issue":"476","key":"18_CR16","doi-asserted-by":"publisher","first-page":"a","DOI":"10.1198\/016214506000000302","volume":"101","author":"YW Teh","year":"2006","unstructured":"Teh, Y.W., Jordan, M.I., Beal, M.J., Blei, D.M.: Hierarchical dirichlet processes. J. Am. Stat. Assoc. 101(476), a (2006)","journal-title":"J. Am. Stat. Assoc."},{"key":"18_CR17","unstructured":"Thibaux, R., Jordan, M.I.: Hierarchical beta processes and the Indian buffet process. In: International Conference on Artificial Intelligence and Statistics, pp. 564\u2013571 (2007)"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Wang, R., Dong, W., Wang, Y., Tang, K., Yao, X.: Pipe failure prediction: a data mining method. In: 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp. 1208\u20131218. IEEE (2013)","DOI":"10.1109\/ICDE.2013.6544910"},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Yakhnenko, O., Honavar, V.: Annotating images and image objects using a hierarchical dirichlet process model. In: Proceedings of the 9th International Workshop on Multimedia Data Mining: Held in Conjunction with the ACM SIGKDD 2008, pp. 1\u20137. ACM (2008)","DOI":"10.1145\/1509212.1509213"},{"key":"18_CR20","unstructured":"Zhou, M., Chen, H., Ren, L., Sapiro, G., Carin, L., Paisley, J.W.: Non-parametric bayesian dictionary learning for sparse image representations. In: Advances in Neural Information Processing Systems, pp. 2295\u20132303 (2009)"},{"key":"18_CR21","unstructured":"Zhou, M., Yang, H., Sapiro, G., Dunson, D.B., Carin, L.: Dependent hierarchical beta process for image interpolation and denoising. In: International Conference on Artificial Intelligence and Statistics, pp. 883\u2013891 (2011)"}],"container-title":["Human\u2013Computer Interaction Series","Human and Machine Learning"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-90403-0_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,19]],"date-time":"2019-10-19T01:52:28Z","timestamp":1571449948000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-90403-0_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319904023","9783319904030"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-90403-0_18","relation":{},"ISSN":["1571-5035","2524-4477"],"issn-type":[{"value":"1571-5035","type":"print"},{"value":"2524-4477","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}