{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T21:39:27Z","timestamp":1773524367179,"version":"3.50.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T00:00:00Z","timestamp":1590019200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T00:00:00Z","timestamp":1590019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s41060-020-00219-z","type":"journal-article","created":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T14:03:35Z","timestamp":1590069815000},"page":"15-29","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction"],"prefix":"10.1007","volume":"12","author":[{"given":"Simon","family":"Luo","sequence":"first","affiliation":[]},{"given":"Victor W.","family":"Chu","sequence":"additional","affiliation":[]},{"given":"Zhidong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jianlong","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Fang","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Raymond K.","family":"Wong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,21]]},"reference":[{"key":"219_CR1","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M., et al.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)"},{"key":"219_CR2","first-page":"153","volume":"20","author":"EV Bonilla","year":"2007","unstructured":"Bonilla, E.V., Chai, K.M.A., Williams, C.K.: Multi-task gaussian process prediction. NIPs 20, 153\u2013160 (2007)","journal-title":"NIPs"},{"key":"219_CR3","doi-asserted-by":"crossref","unstructured":"Dai, W., Yang, Q., Xue, G.R., Yu, Y.: Self-taught clustering. In: Proceedings of the 25th international conference on Machine Learning, pp. 200\u2013207. ACM (2008)","DOI":"10.1145\/1390156.1390182"},{"key":"219_CR4","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","volume":"34","author":"CR David","year":"1972","unstructured":"David, C.R., et al.: Regression models and life tables (with discussion). J. R. Stat. Soc. 34, 187\u2013220 (1972)","journal-title":"J. R. Stat. Soc."},{"issue":"4","key":"219_CR5","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","volume":"38","author":"JH Friedman","year":"2002","unstructured":"Friedman, J.H.: Stochastic gradient boosting. Comput. Stat. Data Anal. 38(4), 367\u2013378 (2002)","journal-title":"Comput. Stat. Data Anal."},{"key":"219_CR6","unstructured":"Gupta, S., Phung, D., Venkatesh, S.: Factorial multi-task learning: a Bayesian nonparametric approach. In: International Conference on Machine Learning, pp. 657\u2013665 (2013)"},{"issue":"3","key":"219_CR7","first-page":"1259","volume":"18","author":"NL Hjort","year":"1990","unstructured":"Hjort, N.L., et al.: Nonparametric bayes estimators based on beta processes in models for life history data. Ann. Stat. 18(3), 1259\u20131294 (1990)","journal-title":"Ann. Stat."},{"issue":"16","key":"219_CR8","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":"219_CR9","volume-title":"Bayesian Survival Analysis","author":"JG Ibrahim","year":"2005","unstructured":"Ibrahim, J.G., Chen, M.H., Sinha, D.: Bayesian Survival Analysis. Wiley Online Library, New York (2005)"},{"key":"219_CR10","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1016\/j.ress.2015.06.011","volume":"142","author":"G Kabir","year":"2015","unstructured":"Kabir, G., Tesfamariam, S., Sadiq, R.: Predicting water main failures using bayesian model averaging and survival modelling approach. Reliab. Eng. Syst. Saf. 142, 498\u2013514 (2015)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"219_CR11","unstructured":"Kemp, C., Tenenbaum, J.B., Griffiths, T.L., Yamada, T., Ueda, N.: Learning systems of concepts with an infinite relational model. In: AAAI, vol.\u00a03, p.\u00a05 (2006)"},{"issue":"2","key":"219_CR12","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. Civ. Eng. 12(2), 286\u2013293 (1985)","journal-title":"Can. J. Civ. Eng."},{"issue":"3","key":"219_CR13","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/S1462-0758(01)00033-4","volume":"3","author":"Y Kleiner","year":"2001","unstructured":"Kleiner, Y., Rajani, B.: Comprehensive review of structural deterioration of water mains: statistical models. Urban Water 3(3), 131\u2013150 (2001)","journal-title":"Urban Water"},{"key":"219_CR14","doi-asserted-by":"crossref","unstructured":"Kumar, A., Rizvi, S.A.A., Brooks, B., Vanderveld, R.A., Wilson, K.H., Kenney, C., Edelstein, S., Finch, A., Maxwell, A., Zuckerbraun, J., et\u00a0al.: Using machine learning to assess the risk of and prevent water main breaks. (2018). arXiv preprint arXiv:1805.03597","DOI":"10.1145\/3219819.3219835"},{"issue":"3","key":"219_CR15","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/S1462-0758(00)00057-1","volume":"2","author":"Y Le Gat","year":"2000","unstructured":"Le Gat, Y., Eisenbeis, P.: Using maintenance records to forecast failures in water networks. Urban Water 2(3), 173\u2013181 (2000)","journal-title":"Urban Water"},{"key":"219_CR16","unstructured":"Li, B., Zhang, B., Li, Z., Wang, Y., Chen, F., Vitanage, D.: Prioritising water pipes for condition assessment with data analytics. Australia\u2019s International Water Conference & Exhibition (OzWater) (2015)"},{"issue":"1","key":"219_CR17","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":"219_CR18","doi-asserted-by":"crossref","unstructured":"Lin, P., Zhang, B., Wang, Y., Li, Z., Li, B., Wang, Y., Chen, F.: Data driven water pipe failure prediction: a Bayesian nonparametric approach. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp 193\u2013202. ACM (2015)","DOI":"10.1145\/2806416.2806509"},{"key":"219_CR19","doi-asserted-by":"crossref","unstructured":"Luo, S., Chu, V.W., Zhou, J., Chen, F., Wong, R.K., Huang, W.: A multivariate clustering approach for infrastructure failure predictions. In: 2017 IEEE International Congress on Big Data (BigData Congress), pp. 274\u2013281. IEEE (2017)","DOI":"10.1109\/BigDataCongress.2017.42"},{"key":"219_CR20","doi-asserted-by":"crossref","unstructured":"Luo, S., Chu, V.W., Li, Z., Wang, Y., Zhou, J., Chen, F., Wong, R.K.: Multitask learning for sparse failure prediction. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 3\u201314. Springer, Berlin (2019)","DOI":"10.1007\/978-3-030-16148-4_1"},{"issue":"10","key":"219_CR21","doi-asserted-by":"publisher","first-page":"3053","DOI":"10.1029\/2000WR900185","volume":"36","author":"A Mailhot","year":"2000","unstructured":"Mailhot, A., Pelletier, G., No\u00ebl, J.F., Villeneuve, J.P.: Modeling the evolution of the structural state of water pipe networks with brief recorded pipe break histories: methodology and application. Water Resources Res. 36(10), 3053\u20133062 (2000)","journal-title":"Water Resources Res."},{"key":"219_CR22","volume-title":"Predicting the Failure Performance of Individual Water Mains","author":"K Mavin","year":"1996","unstructured":"Mavin, K.: Predicting the Failure Performance of Individual Water Mains. Urban Water Research Association of Australia, Sydney (1996)"},{"key":"219_CR23","unstructured":"Misi\u016bnas, D.: Failure monitoring and asset condition assessment in water supply systems. Vilniaus Gedimino technikos universitetas, Vilnius (2008)"},{"issue":"7","key":"219_CR24","doi-asserted-by":"publisher","first-page":"782","DOI":"10.1002\/j.1551-8833.1967.tb03414.x","volume":"59","author":"R Morris Jr","year":"1967","unstructured":"Morris Jr., R.: Principal causes and remedies of water main breaks. J. Am. Water Works Assoc. 59(7), 782\u2013798 (1967)","journal-title":"J. Am. Water Works Assoc."},{"issue":"10","key":"219_CR25","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2009","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"219_CR26","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1061\/(ASCE)0733-9496(2003)129:2(115)","volume":"129","author":"G Pelletier","year":"2003","unstructured":"Pelletier, G., Mailhot, A., Villeneuve, J.P.: Modeling water pipe breaks\u2013three case studies. J. Water Resources Plan. Manag. 129(2), 115\u2013123 (2003)","journal-title":"J. Water Resources Plan. Manag."},{"issue":"2","key":"219_CR27","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1214\/aop\/1024404422","volume":"25","author":"J Pitman","year":"1997","unstructured":"Pitman, J., Yor, M., et al.: The two-parameter poisson-dirichlet distribution derived from a stable subordinator. Ann. Probab. 25(2), 855\u2013900 (1997)","journal-title":"Ann. Probab."},{"key":"219_CR28","unstructured":"Schwaighofer, A., Tresp, V., Yu, K.: Learning Gaussian process kernels via hierarchical bayes. In: Advances in Neural Information Processing Systems 17 (NIPS 2004), pp. 1209\u20131216 (2005)"},{"key":"219_CR29","unstructured":"Sethuraman, J.: A constructive definition of Dirichlet priors. Stat. Sin. 4, 639\u2013650 (1994)"},{"issue":"5","key":"219_CR30","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., et al.: An analytical approach to scheduling pipe replacement. J. Am. Water Works Assoc. 71(5), 248\u2013258 (1979)","journal-title":"J. Am. Water Works Assoc."},{"issue":"476","key":"219_CR31","doi-asserted-by":"publisher","first-page":"1566","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), 1566\u20131581 (2006)","journal-title":"J. Am. Stat. Assoc."},{"key":"219_CR32","first-page":"564","volume":"2","author":"R Thibaux","year":"2007","unstructured":"Thibaux, R., Jordan, M.I.: Hierarchical beta processes and the indian buffet process. AISTATS 2, 564\u2013571 (2007)","journal-title":"AISTATS"},{"issue":"Jan","key":"219_CR33","first-page":"35","volume":"8","author":"Y Xue","year":"2007","unstructured":"Xue, Y., Liao, X., Carin, L., Krishnapuram, B.: Multi-task learning for classification with dirichlet process priors. J. Mach. Learn. Res. 8(Jan), 35\u201363 (2007)","journal-title":"J. Mach. Learn. Res."},{"key":"219_CR34","unstructured":"Zhang, Y., Yang, Q.: A survey on multi-task learning. arXiv preprint arXiv:1707.08114 (2017)"}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-020-00219-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41060-020-00219-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-020-00219-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T04:55:58Z","timestamp":1722920158000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s41060-020-00219-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,21]]},"references-count":34,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["219"],"URL":"https:\/\/doi.org\/10.1007\/s41060-020-00219-z","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"value":"2364-415X","type":"print"},{"value":"2364-4168","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,21]]},"assertion":[{"value":"18 June 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}