{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:59:18Z","timestamp":1774544358675,"version":"3.50.1"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030457778","type":"print"},{"value":"9783030457785","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-45778-5_10","type":"book-chapter","created":{"date-parts":[[2020,4,19]],"date-time":"2020-04-19T17:02:34Z","timestamp":1587315754000},"page":"134-153","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Space-Time Pattern Extraction in Alarm Logs for Network Diagnosis"],"prefix":"10.1007","author":[{"given":"Achille","family":"Sala\u00fcn","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne","family":"Bouillard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc-Olivier","family":"Buob","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,20]]},"reference":[{"issue":"2","key":"10_CR1","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1137\/0201008","volume":"1","author":"AV Aho","year":"1972","unstructured":"Aho, A.V., Garey, M.R., Ullman, J.D.: The transitive reduction of a directed graph. SIAM J. Comput. 1(2), 131\u2013137 (1972)","journal-title":"SIAM J. Comput."},{"issue":"9","key":"10_CR2","doi-asserted-by":"publisher","first-page":"11230","DOI":"10.1016\/j.eswa.2011.02.171","volume":"38","author":"A Alaeddini","year":"2011","unstructured":"Alaeddini, A., Dogan, I.: Using Bayesian networks for root cause analysis in statistical process control. Expert Syst. Appl. 38(9), 11230\u201311243 (2011)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"10_CR3","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/BF03354613","volume":"18","author":"T Aluja-Banet","year":"2003","unstructured":"Aluja-Banet, T., Nafria, E.: Stability and scalability in decision trees. Comput. Stat. 18(3), 505\u2013520 (2003)","journal-title":"Comput. Stat."},{"key":"10_CR4","unstructured":"Bouillard, A., Buob, M.O., Raynal, M., Sala\u00fcn, A.: Log analysis via space-time pattern matching. In: 2018 14th International Conference on Network and Service Management (CNSM), pp. 303\u2013307. IEEE (2018)"},{"key":"10_CR5","unstructured":"Bouillard, A., Junier, A., Ronot, B.: Hidden anomaly detection in telecommunication networks. In: 2012 8th International Conference on Network and Service Management (CNSM) and 2012 Workshop on Systems Virtualiztion Management (SVM), pp. 82\u201390. IEEE (2012)"},{"key":"10_CR6","unstructured":"Chen, M., Zheng, A.X., Lloyd, J., Jordan, M.I., Brinewer, E.: Failure diagnosis using decision trees. In: Proceedings of the International Conference on Autonomic Computing, pp. 36\u201343. IEEE (2004)"},{"issue":"6","key":"10_CR7","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1016\/j.cherd.2012.11.001","volume":"91","author":"Y Cheng","year":"2013","unstructured":"Cheng, Y., Izadi, I., Chen, T.: Pattern matching of alarm flood sequences by a modified Smith-Waterman algorithm. Chem. Eng. Res. Des. 91(6), 1085\u20131094 (2013)","journal-title":"Chem. Eng. Res. Des."},{"key":"10_CR8","volume-title":"Introduction to Algorithms","author":"TH Cormen","year":"2009","unstructured":"Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms, 3rd edn. MIT Press, Cambridge (2009)","edition":"3"},{"key":"10_CR9","volume-title":"Stationary Time-Series Models","author":"W Enders","year":"2004","unstructured":"Enders, W.: Stationary Time-Series Models. Wiley, New York (2004)"},{"issue":"9","key":"10_CR10","doi-asserted-by":"publisher","first-page":"2022","DOI":"10.1002\/aic.690480916","volume":"48","author":"MC Johannesmeyer","year":"2002","unstructured":"Johannesmeyer, M.C., Singhal, A., Seborg, D.E.: Pattern matching in historical data. AIChE J. 48(9), 2022\u20132038 (2002)","journal-title":"AIChE J."},{"issue":"1","key":"10_CR11","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/0304-3975(92)90142-3","volume":"92","author":"D Revuz","year":"1992","unstructured":"Revuz, D.: Minimisation of acyclic deterministic automata in linear time. Theoret. Comput. Sci. 92(1), 181\u2013189 (1992)","journal-title":"Theoret. Comput. Sci."},{"issue":"1","key":"10_CR12","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/0022-2836(81)90087-5","volume":"147","author":"TF Smith","year":"1981","unstructured":"Smith, T.F., Waterman, M.S., et al.: Identification of common molecular subsequences. J. Mol. Biol. 147(1), 195\u2013197 (1981)","journal-title":"J. Mol. Biol."},{"key":"10_CR13","unstructured":"Sol\u00e9, M., Munt\u00e9s-Mulero, V., Rana, A.I., Estrada, G.: Survey on models and techniques for root-cause analysis. arXiv preprint arXiv:1701.08546 (2017)"},{"issue":"4","key":"10_CR14","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1016\/0005-1098(93)90090-G","volume":"29","author":"T Sorsa","year":"1993","unstructured":"Sorsa, T., Koivo, H.N.: Application of artificial neural networks in process fault diagnosis. Automatica 29(4), 843\u2013849 (1993)","journal-title":"Automatica"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Van Lunteren, J.: High-performance pattern-matching for intrusion detection. In: Proceedings of the 25th IEEE International Conference on Computer Communications, IEEE INFOCOM 2006, pp. 1\u201313. Citeseer (2006)","DOI":"10.1109\/INFOCOM.2006.204"},{"issue":"9","key":"10_CR16","doi-asserted-by":"publisher","first-page":"1996","DOI":"10.1016\/j.compchemeng.2005.05.005","volume":"29","author":"G Weidl","year":"2005","unstructured":"Weidl, G., Madsen, A.L., Israelson, S.: Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes. Comput. Chem. Eng. 29(9), 1996\u20132009 (2005)","journal-title":"Comput. Chem. Eng."},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, C., et al.: A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 1409\u20131416 (2019)","DOI":"10.1609\/aaai.v33i01.33011409"}],"container-title":["Lecture Notes in Computer Science","Machine Learning for Networking"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-45778-5_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T01:03:20Z","timestamp":1709427800000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-45778-5_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030457778","9783030457785"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-45778-5_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"20 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MLN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning for Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mln2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.adda-association.org\/mln\/Home.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"75","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}