{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:02:16Z","timestamp":1743091336071,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030953836"},{"type":"electronic","value":"9783030953843"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-95384-3_14","type":"book-chapter","created":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T08:20:55Z","timestamp":1645518055000},"page":"210-221","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Error Serial Episodes Discovery from Mobile Payment Log in Distributed ETC"],"prefix":"10.1007","author":[{"given":"Xiang","family":"Li","sequence":"first","affiliation":[]},{"given":"Yawei","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Donghui","family":"Li","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Guan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,23]]},"reference":[{"key":"14_CR1","unstructured":"Agarwal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of the 20th VLDB Conference, pp. 487\u2013499 (1994)"},{"key":"14_CR2","unstructured":"Agrawal, R., Srikant, R.: Mining sequential patterns. In: Proceedings of the Eleventh International Conference on Data Engineering, pp. 3\u201314. IEEE (1995)"},{"key":"14_CR3","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1007\/978-981-13-0776-8_51","volume-title":"Nanoelectronics, Circuits and Communication Systems","author":"EVV Hari Charan","year":"2019","unstructured":"Hari Charan, E.V.V., Pal, I., Sinha, A., Baro, R.K.R., Nath, V.: Electronic toll collection system using barcode technology. In: Nath, V., Mandal, J.K. (eds.) Nanoelectronics, Circuits and Communication Systems. LNEE, vol. 511, pp. 549\u2013556. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-0776-8_51"},{"issue":"1","key":"14_CR4","first-page":"54","volume":"1","author":"P Fournier-Viger","year":"2017","unstructured":"Fournier-Viger, P., Lin, J.C.W., Kiran, R.U., Koh, Y.S., Thomas, R.: A survey of sequential pattern mining. Data Sci. Pattern Recogn. 1(1), 54\u201377 (2017)","journal-title":"Data Sci. Pattern Recogn."},{"issue":"2","key":"14_CR5","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/s10115-015-0854-3","volume":"47","author":"A Ibrahim","year":"2015","unstructured":"Ibrahim, A., Sastry, S., Sastry, P.S.: Discovering compressing serial episodes from event sequences. Knowl. Inf. Syst. 47(2), 405\u2013432 (2015). https:\/\/doi.org\/10.1007\/s10115-015-0854-3","journal-title":"Knowl. Inf. Syst."},{"key":"14_CR6","unstructured":"Iwanuma, K., Takano, Y., Nabeshima, H.: On anti-monotone frequency measures for extracting sequential patterns from a single very-long data sequence. In: IEEE Conference on Cybernetics and Intelligent Systems, 2004, vol. 1, pp. 213\u2013217. IEEE (2004)"},{"issue":"11","key":"14_CR7","doi-asserted-by":"publisher","first-page":"1505","DOI":"10.1109\/TKDE.2005.181","volume":"17","author":"S Laxman","year":"2005","unstructured":"Laxman, S., Sastry, P., Unnikrishnan, K.: Discovering frequent episodes and learning hidden Markov models: a formal connection. IEEE Trans. Knowl. Data Eng. 17(11), 1505\u20131517 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Laxman, S., Tankasali, V., White, R.W.: Stream prediction using a generative model based on frequent episodes in event sequences. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 453\u2013461 (2008)","DOI":"10.1145\/1401890.1401947"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Liu, D., Lung, C.H., Lambadaris, I., Seddigh, N.: Network traffic anomaly detection using clustering techniques and performance comparison. In: 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1\u20134. IEEE (2013)","DOI":"10.1109\/CCECE.2013.6567739"},{"issue":"3","key":"14_CR10","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1023\/A:1009748302351","volume":"1","author":"H Mannila","year":"1997","unstructured":"Mannila, H., Toivonen, H., Verkamo, A.I.: Discovery of frequent episodes in event sequences. Data Min. Knowl. Disc. 1(3), 259\u2013289 (1997)","journal-title":"Data Min. Knowl. Disc."},{"key":"14_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/3-540-36175-8_4","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"A Ng","year":"2003","unstructured":"Ng, A., Fu, A.W.: Mining frequent episodes for relating financial events and stock trends. In: Whang, K.-Y., Jeon, J., Shim, K., Srivastava, J. (eds.) PAKDD 2003. LNCS (LNAI), vol. 2637, pp. 27\u201339. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-36175-8_4"},{"issue":"S2","key":"14_CR12","first-page":"95","volume":"16","author":"L Zhu","year":"2019","unstructured":"Zhu, L., Haobo, H.: Patent survey on electronic toll collection(etc) technologies. China Invention Patent 16(S2), 95\u201399 (2019)","journal-title":"China Invention Patent"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Okita, H., Hanaoka, S.: A practical approach for network fault detection. In: 2016 International Conference on Computing, Networking and Communications (ICNC), pp. 1\u20135. IEEE (2016)","DOI":"10.1109\/ICCNC.2016.7440710"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-95384-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T08:23:16Z","timestamp":1645518196000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-95384-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030953836","9783030953843"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-95384-3_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"23 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/ica3pp2021\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"403","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":"145","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":"36% - 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":"3.12","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":"2.27","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}