{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:18:59Z","timestamp":1762507139592,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1330142"],"award-info":[{"award-number":["CNS-1330142"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,4]]},"DOI":"10.1145\/3097983.3098068","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"155-164","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Contextual Motifs"],"prefix":"10.1145","author":[{"given":"Ian","family":"Fox","sequence":"first","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"given":"Lynn","family":"Ang","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"given":"Mamta","family":"Jaiswal","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"given":"Rodica","family":"Pop-Busui","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"given":"Jenna","family":"Wiens","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2010.0090"},{"key":"e_1_3_2_2_2_1","volume-title":"Proceedings. International Conference on Intelligent Systems for Molecular Biology, 2: 28--36","author":"Bailey T. L.","year":"1994","unstructured":"T. L. Bailey and C. Elkan . Fitting a mixture model by expectation maximization to discover motifs in biopolymers . Proceedings. International Conference on Intelligent Systems for Molecular Biology, 2: 28--36 , 1994 . T. L. Bailey and C. Elkan. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proceedings. International Conference on Intelligent Systems for Molecular Biology, 2:28--36, 1994."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc15-0099"},{"key":"e_1_3_2_2_4_1","volume-title":"Latent Dirichlet allocation. the Journal of machine Learning research, 3:993--1022","author":"Blei D. M.","year":"2003","unstructured":"D. M. Blei , A. Y. Ng , and M. I. Jordan . Latent Dirichlet allocation. the Journal of machine Learning research, 3:993--1022 , 2003 . D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet allocation. the Journal of machine Learning research, 3:993--1022, 2003."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/193229680800200517"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1089\/10665270252935430"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367917"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956808"},{"key":"e_1_3_2_2_9_1","volume-title":"An introduction to wavelets","author":"Chui C. K.","year":"2014","unstructured":"C. K. Chui . An introduction to wavelets , volume 1 . Academic press , 2014 . C. K. Chui. An introduction to wavelets, volume 1. Academic press, 2014."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2940329"},{"issue":"1","key":"e_1_3_2_2_11_1","first-page":"1593","article-title":"The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo","volume":"15","author":"Hoffman M. D.","year":"2014","unstructured":"M. D. Hoffman and A. Gelman . The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo . Journal of Machine Learning Research , 15 ( 1 ): 1593 -- 1623 , 2014 . M. D. Hoffman and A. Gelman. The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo. Journal of Machine Learning Research, 15(1):1593--1623, 2014.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc14-0445"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti745"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9149(87)90795-8"},{"key":"e_1_3_2_2_15_1","first-page":"53","volume-title":"Proc. of the 2nd Workshop on Temporal Data Mining","author":"Lin J.","year":"2002","unstructured":"J. Lin , E. Keogh , S. Lonardi , and P. Patel . Finding motifs in time series . In Proc. of the 2nd Workshop on Temporal Data Mining , pages 53 -- 68 , 2002 . J. Lin, E. Keogh, S. Lonardi, and P. Patel. Finding motifs in time series. In Proc. of the 2nd Workshop on Temporal Data Mining, pages 53--68, 2002."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-007-0064-z"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78839-3_7"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2411226"},{"key":"e_1_3_2_2_19_1","volume-title":"Dept. Statistics","author":"Liu J. S.","year":"1996","unstructured":"J. S. Liu . Metropolized gibbs sampler: an improvement. Technical report, Technical report , Dept. Statistics , Stanford Univ , 1996 . J. S. Liu. Metropolized gibbs sampler: an improvement. Technical report, Technical report, Dept. Statistics, Stanford Univ, 1996."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2006.286337"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.2337\/diab.19.9.644"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1119"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.23.1.45"},{"key":"e_1_3_2_2_24_1","first-page":"7","article-title":"Dynamic bayesian networks. Probabilistic Graphical Models","author":"Murphy K. P.","year":"2002","unstructured":"K. P. Murphy . Dynamic bayesian networks. Probabilistic Graphical Models , M. Jordan , 7 , 2002 . K. P. Murphy. Dynamic bayesian networks. Probabilistic Graphical Models, M. Jordan, 7, 2002.","journal-title":"M. Jordan"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2491979"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2836(70)90057-4"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2002.1183920"},{"key":"e_1_3_2_2_28_1","volume-title":"et al. Scikit-learn: Machine learning in python. Journal of Machine Learning Research, 12(Oct):2825--2830","author":"Pedregosa F.","year":"2011","unstructured":"F. Pedregosa , G. Varoquaux , A. Gramfort , V. Michel , B. Thirion , O. Grisel , M. Blondel , P. Prettenhofer , R. Weiss , V. Dubourg , et al. Scikit-learn: Machine learning in python. Journal of Machine Learning Research, 12(Oct):2825--2830 , 2011 . F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, et al. Scikit-learn: Machine learning in python. Journal of Machine Learning Research, 12(Oct):2825--2830, 2011."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2009.133"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.55"},{"key":"e_1_3_2_2_31_1","first-page":"1465","volume-title":"IJCAI Proceedings-International Joint Conference on Artificial Intelligence","volume":"22","author":"Saria S.","year":"2011","unstructured":"S. Saria , A. Duchi , and D. Koller . Discovering deformable motifs in continuous time series data . In IJCAI Proceedings-International Joint Conference on Artificial Intelligence , volume 22 , page 1465 , 2011 . S. Saria, A. Duchi, and D. Koller. Discovering deformable motifs in continuous time series data. In IJCAI Proceedings-International Joint Conference on Artificial Intelligence, volume 22, page 1465, 2011."},{"key":"e_1_3_2_2_32_1","volume-title":"Proc. Neural Information Processing Systems (NIPS), Predictive Models in Personalized Medicine workshop. Citeseer","author":"Saria S.","year":"2010","unstructured":"S. Saria , D. Koller , and A. Penn . Learning individual and population level traits from clinical temporal data . In Proc. Neural Information Processing Systems (NIPS), Predictive Models in Personalized Medicine workshop. Citeseer , 2010 . S. Saria, D. Koller, and A. Penn. Learning individual and population level traits from clinical temporal data. In Proc. Neural Information Processing Systems (NIPS), Predictive Models in Personalized Medicine workshop. Citeseer, 2010."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783306"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.0010067"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1644873.1644875"},{"key":"e_1_3_2_2_36_1","first-page":"1261","volume-title":"IJCAI","volume":"9","author":"Vahdatpour A.","year":"2009","unstructured":"A. Vahdatpour , N. Amini , and M. Sarrafzadeh . Toward unsupervised activity discovery using multi-dimensional motif detection in time series . In IJCAI , volume 9 , pages 1261 -- 1266 , 2009 . A. Vahdatpour, N. Amini, and M. Sarrafzadeh. Toward unsupervised activity discovery using multi-dimensional motif detection in time series. In IJCAI, volume 9, pages 1261--1266, 2009."},{"key":"e_1_3_2_2_38_1","first-page":"48109","volume-title":"The Twenty-Sixth AAAI Conference on Artificial Intelligence","volume":"1001","author":"Esbroeck A. Van","year":"2012","unstructured":"A. Van Esbroeck , C.-C. Chia , and Z. Syed . Heart rate topic models . In The Twenty-Sixth AAAI Conference on Artificial Intelligence , volume 1001 , page 48109 , 2012 . A. Van Esbroeck, C.-C. Chia, and Z. Syed. Heart rate topic models. In The Twenty-Sixth AAAI Conference on Artificial Intelligence, volume 1001, page 48109, 2012."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc07-1967"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557122"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0402858101"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1003795"}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Halifax NS Canada","acronym":"KDD '17"},"container-title":["Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098068","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098068","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098068","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:26Z","timestamp":1750217426000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098068"}},"subtitle":["Increasing the Utility of Motifs using Contextual Data"],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":41,"alternative-id":["10.1145\/3097983.3098068","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098068","relation":{},"subject":[],"published":{"date-parts":[[2017,8,4]]},"assertion":[{"value":"2017-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}