{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T18:38:08Z","timestamp":1780943888913,"version":"3.54.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2017,11,18]],"date-time":"2017-11-18T00:00:00Z","timestamp":1510963200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,11,18]],"date-time":"2017-11-18T00:00:00Z","timestamp":1510963200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1462342"],"award-info":[{"award-number":["1462342"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA9550-15-1-0214"],"award-info":[{"award-number":["FA9550-15-1-0214"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Yamada Corporation Fellowship"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1007\/s10586-017-1291-8","type":"journal-article","created":{"date-parts":[[2017,11,18]],"date-time":"2017-11-18T03:56:18Z","timestamp":1510977378000},"page":"2187-2210","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Dynamic data-driven learning for self-healing avionics"],"prefix":"10.1007","volume":"22","author":[{"given":"Shigeru","family":"Imai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sida","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wennan","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos A.","family":"Varela","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,11,18]]},"reference":[{"issue":"11","key":"1291_CR1","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.14778\/2536222.2536229","volume":"6","author":"Tyler Akidau","year":"2013","unstructured":"Akidau, Tyler, Balikov, Alex, Bekiro\u011flu, Kaya, Chernyak, Slava, Haberman, Josh, Lax, Reuven, McVeety, Sam, Mills, Daniel, Nordstrom, Paul, Whittle, Sam: Millwheel: fault-tolerant stream processing at internet scale. Proceedings of the VLDB Endowment 6(11), 1033\u20131044 (2013)","journal-title":"Proceedings of the VLDB Endowment"},{"key":"1291_CR2","doi-asserted-by":"crossref","unstructured":"Allaire, Douglas., Kordonowy, David., Lecerf, Marc., Mainini, Laura., Willcox, Karen.: Multifidelity DDDAS methods with application to a self-aware aerospace vehicle. In: DDDAS 2014 Workshop at ICCS\u201914, pages 1182\u20131192, (June 2014)","DOI":"10.1016\/j.procs.2014.05.106"},{"key":"1291_CR3","volume-title":"Fundamentals of Aerodynamics","author":"JD Anderson Jr","year":"2010","unstructured":"Anderson Jr., J.D.: Fundamentals of Aerodynamics. Tata McGraw-Hill Education, New York (2010)"},{"key":"1291_CR4","doi-asserted-by":"crossref","unstructured":"Biswas, Gautam., Khorasgani, Hamed., Stanje, Gerald., Dubey, Abhishek., Deb, Somnath., Ghoshal, Sudipto.: An application of data driven anomaly identification to spacecraft telemetry data. In: Prognostics and Health Management Conference, (2016)","DOI":"10.36001\/phmconf.2016.v8i1.2551"},{"issue":"9","key":"1291_CR5","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MAES.2012.6366088","volume":"27","author":"Erik P Blasch","year":"2012","unstructured":"Blasch, Erik P., Lambert, Dale A., Valin, Pierre, Kokar, Mieczyslaw M., Llinas, James, Das, Subrata, Chong, Chee, Shahbazian, Elisa: High level information fusion (hlif): survey of models, issues, and grand challenges. IEEE Aerospace and Electronic Systems Magazine 27(9), 4\u201320 (2012)","journal-title":"IEEE Aerospace and Electronic Systems Magazine"},{"key":"1291_CR6","unstructured":"Bureau d\u2019Enqu\u00eates et d\u2019Analyses pour la S\u00e9curit\u00e9 de l\u2019Aviation Civile. Final Report: On the accident on 1st June 2009 to the Airbus A330-203 registered F-GZCP operated by Air France flight AF 447 Rio de Janeiro - Paris"},{"issue":"2","key":"1291_CR7","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.14778\/1454159.1454166","volume":"1","author":"Ronnie Chaiken","year":"2008","unstructured":"Chaiken, Ronnie, Jenkins, Bob, Larson, Per\u00c5ke, Ramsey, Bill, Shakib, Darren, Weaver, Simon, Zhou, Jingren: SCOPE: Easy and efficient parallel processing of massive data sets. Proc. VLDB Endow. 1(2), 1265\u20131276 (2008)","journal-title":"Proc. VLDB Endow."},{"key":"1291_CR8","unstructured":"Chen, Sida., Imai, Shigeru., Zhu, Wennan., Varela, Carlos\u00a0A.: Towards learning spatio-temporal data stream relationships for failure detection in avionics. In: Dynamic Data-Driven Application Systems (DDDAS 2016), Hartford, CT, Aug 2016. To appear"},{"key":"1291_CR9","doi-asserted-by":"crossref","unstructured":"Darema, Frederica.: Dynamic data driven applications systems: A new paradigm for application simulations and measurements. In: Computational Science-ICCS 2004, pages 662\u2013669. Springer, (2004)","DOI":"10.1007\/978-3-540-24688-6_86"},{"key":"1291_CR10","doi-asserted-by":"crossref","unstructured":"Das, S., Matthews, BL., Srivastava, Ashok\u00a0N., Oza, Nikunj\u00a0C.: Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study. Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 47\u201355, (2010)","DOI":"10.1145\/1835804.1835813"},{"key":"1291_CR11","first-page":"2462","volume":"7","author":"Luc De Raedt","year":"2007","unstructured":"De Raedt, Luc, Kimmig, Angelika, Toivonen, Hannu: Problog: A probabilistic prolog and its application in link discovery. International Joint Conference on Artificial Intelligence 7, 2462\u20132467 (2007)","journal-title":"International Joint Conference on Artificial Intelligence"},{"key":"1291_CR12","unstructured":"Ditzler, Gregory., Hariri, Salim., Akoglu, Ali.: High Performance Machine Learning (HPML) Framework to Support DDDAS Decision Support Systems: Design Overview. In: Foundations and Applications of Self* Systems (FAS* W), 2017 IEEE 2nd International Workshops on, pages 360\u2013362. IEEE, (2017)"},{"key":"1291_CR13","unstructured":"Fonnesbeck, Christopher\u00a0J.: PyMC 2.3.6 documentation. https:\/\/pymc-devs.github.io\/pymc\/ . Accessed 06-12-(2017)"},{"issue":"3","key":"1291_CR14","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1109\/TCST.2009.2026285","volume":"18","author":"Inseok Hwang","year":"2010","unstructured":"Hwang, Inseok, Kim, Sungwan, Kim, Youdan, Seah, Chze Eng: A survey of fault detection, isolation, and reconfiguration methods. IEEE Transactions on Control Systems Technology 18(3), 636\u2013653 (2010)","journal-title":"IEEE Transactions on Control Systems Technology"},{"key":"1291_CR15","doi-asserted-by":"crossref","unstructured":"Imai, Shigeru., Blasch, Erik., Galli, Alessandro., Zhu, Wennan., Lee, Frederick., Varela, Carlos\u00a0A.: Airplane flight safety using error-tolerant data stream processing. IEEE Aerospace and Electronics Systems Magazine, 32(4), (2017)","DOI":"10.1109\/MAES.2017.150242"},{"key":"1291_CR16","doi-asserted-by":"crossref","unstructured":"Imai, Shigeru., Galli, Alessandro., Varela, Carlos\u00a0A.: Dynamic data-driven avionics systems: Inferring failure modes from data streams. In: Dynamic Data-Driven Application Systems (DDDAS 2015), Reykjavik, Iceland, (June 2015)","DOI":"10.1016\/j.procs.2015.05.301"},{"key":"1291_CR17","doi-asserted-by":"crossref","unstructured":"Imai, Shigeru., Klockowski, Richard., Varela, Carlos\u00a0A.: Self-healing spatio-temporal data streams using error signatures. In: 2nd International Conference on Big Data Science and Engineering (BDSE 2013), Sydney, Australia, (December 2013)","DOI":"10.1109\/CSE.2013.141"},{"key":"1291_CR18","doi-asserted-by":"crossref","unstructured":"Imai, Shigeru., Patterson, Stacy., Varela, Carlos\u00a0A.: Maximum sustainable throughput prediction for data stream processing over public clouds. In: 17th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017), Madrid, Spain, (May 2017)","DOI":"10.1109\/CCGRID.2017.105"},{"key":"1291_CR19","doi-asserted-by":"crossref","unstructured":"Imai, Shigeru., Varela, Carlos\u00a0A.: A programming model for spatio-temporal data streaming applications. In: Dynamic Data-Driven Application Systems (DDDAS 2012), pages 1139\u20131148, Omaha, Nebraska, (June 2012)","DOI":"10.1016\/j.procs.2012.04.123"},{"key":"1291_CR20","doi-asserted-by":"crossref","unstructured":"Imai, Shigeru., Varela, Carlos A.: Programming spatio-temporal data streaming applications with high-level specifications. In: 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST): Redondo Beach, p. 2012. California, USA, November (2012)","DOI":"10.1145\/2442985.2442988"},{"key":"1291_CR21","unstructured":"JavaCC Development Group. JavaCC - The Java Parser Generator. http:\/\/javacc.org\/ . Accessed 06-12-2017"},{"key":"1291_CR22","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511790423","volume-title":"Probability Theory: The Logic of Science","author":"ET Jaynes","year":"2003","unstructured":"Jaynes, E.T.: Probability Theory: The Logic of Science. Cambridge University Press, Cambridge (2003)"},{"key":"1291_CR23","unstructured":"John, George\u00a0H., Langley, Pat.: Estimating continuous distributions in Bayesian classifiers. In: Proceedings of the Eleventh conference on Uncertainty in artificial intelligence, pages 338\u2013345. Morgan Kaufmann Publishers Inc., (1995)"},{"key":"1291_CR24","unstructured":"Kamburugamuve, Supun., Ekanayake, Saliya., Pathirage, Milinda., Fox, Geoffrey.: Towards high performance processing of streaming data in large data centers. In: Parallel and Distributed Processing Symposium Workshops, 2016 IEEE International, pages 1637\u20131644. IEEE, (2016)"},{"key":"1291_CR25","doi-asserted-by":"crossref","unstructured":"Klockowski, Richard\u00a0S., Imai, Shigeru., Rice, Colin., Varela, Carlos\u00a0A.: Autonomous data error detection and recovery in streaming applications. In: Proceedings of the International Conference on Computational Science (ICCS 2013). Dynamic Data-Driven Application Systems (DDDAS 2013) Workshop, pages 2036\u20132045, (May 2013)","DOI":"10.1016\/j.procs.2013.05.373"},{"issue":"10","key":"1291_CR26","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1002\/cpe.994","volume":"18","author":"Bertram Lud\u00e4scher","year":"2006","unstructured":"Lud\u00e4scher, Bertram, Altintas, Ilkay, Berkley, Chad, Higgins, Dan, Jaeger, Efrat, Jones, Matthew, Lee, Edward\u00a0A, Tao, Jing, Zhao, Yang: Scientific workflow management and the Kepler system. Concurrency and Computation: Practice and Experience 18(10), 1039\u20131065 (2006)","journal-title":"Concurrency and Computation: Practice and Experience"},{"issue":"1","key":"1291_CR27","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1109\/TASE.2016.2542186","volume":"14","author":"Daniel LC Mack","year":"2017","unstructured":"Mack, Daniel L.C., Biswas, Gautam, Koutsoukos, Xenofon D., Mylaraswamy, Dinkar: Learning bayesian network structures to augment aircraft diagnostic reference models. IEEE Transactions on Automation Science and Engineering 14(1), 358\u2013369 (2017)","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"key":"1291_CR28","unstructured":"Mack, Daniel\u00a0LC., Biswas, Gautam., Koutsoukos, Xenofon\u00a0D., Mylaraswamy, Dinkar., Hadden, George.: Deriving bayesian classifiers from flight data to enhance aircraft diagnosis models. In: Annual Conference of the Prognostics and Health Management Society, (2011)"},{"key":"1291_CR29","first-page":"149","volume":"16","author":"Gianmarco De Francisci Morales","year":"2015","unstructured":"De Francisci Morales, Gianmarco, Bifet, Albert: SAMOA: Scalable Advanced Massive Online Analysis. Journal of Machine Learning Research 16, 149\u2013153 (2015)","journal-title":"Journal of Machine Learning Research"},{"key":"1291_CR30","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: Machine learning in Python. Journal of Machine Learning Research 12, 2825\u20132830 (2011)","journal-title":"Journal of Machine Learning Research"},{"key":"1291_CR31","unstructured":"Agenzia\u00a0Nazionale per la Sicurezza\u00a0del Volo. Final Report: Accident involving ATR 72 aircraft registration marks TS-LBB ditching off the coast of Capo Gallo (Palermo - Sicily), August 6th, (2005)"},{"key":"1291_CR32","doi-asserted-by":"crossref","unstructured":"Portugal, I., Alencar, P., Cowan, D.: A preliminary survey on domain-specific languages for machine learning in big data. In: 2016 IEEE International Conference on Software Science, Technology and Engineering (SWSTE), (June 2016)","DOI":"10.1109\/SWSTE.2016.23"},{"key":"1291_CR33","unstructured":"Rish, Irina.: An empirical study of the naive Bayes classifier. In: IJCAI 2001 workshop on empirical methods in artificial intelligence, volume\u00a03, pages 41\u201346. IBM New York, (2001)"},{"key":"1291_CR34","unstructured":"Shekhar, Shashank., Gokhale, Aniruddha.: Dynamic resource management across cloud-edge resources for performance-sensitive applications. In: Proceedings of the 17th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing, pages 707\u2013710. IEEE Press, (2017)"},{"key":"1291_CR35","unstructured":"Sujeeth, Arvind., Lee, HyoukJoong., Brown, Kevin., Rompf, Tiark., Chafi, Hassan., Wu, Michael., Atreya, Anand., Odersky, Martin., Olukotun, Kunle.: OptiML: an implicitly parallel domain-specific language for machine learning. In: Proceedings of the 28th International Conference on Machine Learning (ICML-11), pages 609\u2013616, (2011)"},{"key":"1291_CR36","unstructured":"The Apache Software Foundation. Apache Storm. http:\/\/storm.apache.org\/ , January 2015. Accessed 06-14-2017"},{"key":"1291_CR37","unstructured":"Wang, Jianwu., Tang, Yan., Nguyen, Mai., Altintas, Ilkay: A scalable data science workflow approach for big data bayesian network learning. In: Big Data Computing (BDC), 2014 IEEE\/ACM International Symposium on, pages 16\u201325. IEEE, (2014)"},{"key":"1291_CR38","unstructured":"Weimer, Markus., Condie, Tyson., Ramakrishnan, Raghu.: Machine learning in ScalOps, a higher order cloud computing language. In: NIPS 2011 Workshop on parallel and large-scale machine learning (BigLearn), volume\u00a09, pages 389\u2013396, (2011)"},{"key":"1291_CR39","doi-asserted-by":"crossref","unstructured":"Zaharia, Matei., Das, Tathagata., Li, Haoyuan., Shenker, Scott., Stoica, Ion.: Discretized streams: an efficient and fault-tolerant model for stream processing on large clusters. In: Proceedings of the 4th USENIX conference on Hot Topics in Cloud Computing. USENIX Association, (2012)","DOI":"10.21236\/ADA575859"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1291-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10586-017-1291-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1291-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T19:32:24Z","timestamp":1719603144000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10586-017-1291-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,18]]},"references-count":39,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["1291"],"URL":"https:\/\/doi.org\/10.1007\/s10586-017-1291-8","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,11,18]]},"assertion":[{"value":"2 November 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 October 2017","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 November 2017","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}