{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:57:33Z","timestamp":1743127053421,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031401763"},{"type":"electronic","value":"9783031401770"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-40177-0_16","type":"book-chapter","created":{"date-parts":[[2023,7,29]],"date-time":"2023-07-29T06:02:20Z","timestamp":1690610540000},"page":"244-259","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards Addressing Problem-Distribution Drift with\u00a0Case Discovery"],"prefix":"10.1007","author":[{"given":"David","family":"Leake","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Schack","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,30]]},"reference":[{"issue":"7","key":"16_CR1","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1109\/TNN.2008.2000082","volume":"19","author":"C Alippi","year":"2008","unstructured":"Alippi, C., Roveri, M.: Just-in-time adaptive classifiers-part I: detecting nonstationary changes. IEEE Trans. Neural Netw. 19(7), 1145\u20131153 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Bifet, A., Gavalda, R.: Learning from time-changing data with adaptive windowing. In: Proceedings of the 2007 SIAM International Conference on Data Mining, pp. 443\u2013448. SIAM (2007)","DOI":"10.1137\/1.9781611972771.42"},{"key":"16_CR3","unstructured":"Cunningham, P., Nowlan, N., Delany, S., Haahr, M.: A case-based approach to spam filtering that can track concept drift. Technicaal report TCD-CS-2003-16, Computer Science Department, Trinity College Dublin (2003)"},{"key":"16_CR4","unstructured":"Dasu, T., Krishnan, S., Venkatasubramanian, S., Yi, K.: An information-theoretic approach to detecting changes in multi-dimensional data streams. In: Proceedings of Symposium on the Interface of Statistics, Computing Science, and Applications (Interface) (2006)"},{"key":"16_CR5","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/1-84628-103-2_1","volume-title":"Applications and Innovations in Intelligent Systems XII","author":"SJ Delany","year":"2005","unstructured":"Delany, S.J., Cunningham, P., Tsymbal, A., Coyle, L.: A case-based technique for tracking concept drift in spam filtering. In: Macintosh, A., Ellis, R., Allen, T. (eds.) SGAI 2004, pp. 3\u201316. Springer, London (2005). https:\/\/doi.org\/10.1007\/1-84628-103-2_1"},{"key":"16_CR6","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1613\/jair.1.11192","volume":"61","author":"A Fern\u00e1ndez","year":"2018","unstructured":"Fern\u00e1ndez, A., Garcia, S., Herrera, F., Chawla, N.V.: Smote for learning from imbalanced data: progress and challenges, marking the 15-year anniversary. J. Artif. Intell. Res. 61, 863\u2013905 (2018)","journal-title":"J. Artif. Intell. Res."},{"issue":"3","key":"16_CR7","first-page":"181","volume":"15","author":"J Hod\u00e1l","year":"2008","unstructured":"Hod\u00e1l, J., Dvor\u00e1k, J.: Using case-based reasoning for mobile robot path planning. Eng. Mech. 15(3), 181\u2013191 (2008)","journal-title":"Eng. Mech."},{"issue":"1","key":"16_CR8","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s13748-011-0008-0","volume":"1","author":"TR Hoens","year":"2012","unstructured":"Hoens, T.R., Polikar, R., Chawla, N.V.: Learning from streaming data with concept drift and imbalance: an overview. Progr. Artif. Intell. 1(1), 89\u2013101 (2012)","journal-title":"Progr. Artif. Intell."},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Iwana, B.K., Uchida, S.: An empirical survey of data augmentation for time series classification with neural networks. PLoS ONE 16(7), e0254841 (2021)","DOI":"10.1371\/journal.pone.0254841"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Kantchelian, A., et al.: Approaches to adversarial drift. In: Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, pp. 99\u2013110 (2013)","DOI":"10.1145\/2517312.2517320"},{"key":"16_CR11","unstructured":"K\u00f6ppen, M.: The curse of dimensionality. In: 5th Online World Conference on Soft Computing in Industrial Applications (WSC5), vol. 1, pp. 4\u20138 (2000)"},{"key":"16_CR12","unstructured":"Leake, D., Kinley, A., Wilson, D.: Learning to integrate multiple knowledge sources for case-based reasoning. In: Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pp. 246\u2013251. Morgan Kaufmann (1997)"},{"key":"16_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1007\/978-3-030-01081-2_14","volume-title":"Case-Based Reasoning Research and Development","author":"D Leake","year":"2018","unstructured":"Leake, D., Schack, B.: Exploration vs. exploitation in case-base maintenance: leveraging competence-based deletion with ghost cases. In: Cox, M.T., Funk, P., Begum, S. (eds.) ICCBR 2018. LNCS (LNAI), vol. 11156, pp. 202\u2013218. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01081-2_14"},{"key":"16_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/3-540-48508-2_16","volume-title":"Case-Based Reasoning Research and Development","author":"DB Leake","year":"1999","unstructured":"Leake, D.B., Wilson, D.C.: When experience is wrong: examining CBR for changing tasks and environments. In: Althoff, K.-D., Bergmann, R., Branting, L.K. (eds.) ICCBR 1999. LNCS, vol. 1650, pp. 218\u2013232. Springer, Heidelberg (1999). https:\/\/doi.org\/10.1007\/3-540-48508-2_16"},{"key":"16_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/978-3-030-86957-1_9","volume-title":"Case-Based Reasoning Research and Development","author":"D Leake","year":"2021","unstructured":"Leake, D., Ye, X.: Harmonizing case retrieval and\u00a0adaptation with alternating optimization. In: S\u00e1nchez-Ruiz, A.A., Floyd, M.W. (eds.) ICCBR 2021. LNCS (LNAI), vol. 12877, pp. 125\u2013139. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86957-1_9"},{"key":"16_CR16","unstructured":"L\u00f3pez de M\u00e1ntaras, R., et al.: Retrieval, reuse, revision, and retention in CBR. Knowl. Eng. Rev. 20(3) (2005)"},{"issue":"12","key":"16_CR17","first-page":"2346","volume":"31","author":"J Lu","year":"2019","unstructured":"Lu, J., Liu, A., Dong, F., Gu, F., Gama, J., Zhang, G.: Learning under concept drift: a review. IEEE Trans. Knowl. Data Eng. 31(12), 2346\u20132363 (2019)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"16_CR18","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.artint.2014.01.001","volume":"209","author":"N Lu","year":"2014","unstructured":"Lu, N., Zhang, G., Lu, J.: Concept drift detection via competence models. Artif. Intell. 209, 11\u201328 (2014)","journal-title":"Artif. Intell."},{"key":"16_CR19","unstructured":"Massie, S., Craw, S., Wiratunga, N.: Complexity-guided case discovery for case based reasoning. In: AAAI 2005: Proceedings of the 20th National Conference on Artificial Intelligence, pp. 216\u2013221. AAAI Press (2005)"},{"key":"16_CR20","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-1-4471-0119-2_8","volume-title":"Research and Development in Intelligent Systems XVIII","author":"E McKenna","year":"2002","unstructured":"McKenna, E., Smyth, B.: Competence-guided case discovery. In: Bramer, M., Coenen, F., Preece, A. (eds.) Research and Development in Intelligent Systems XVIII, pp. 97\u2013108. Springer, London (2002). https:\/\/doi.org\/10.1007\/978-1-4471-0119-2_8"},{"key":"16_CR21","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-1-4471-0745-3_11","volume-title":"Research and Development in Intelligent Systems XVI","author":"D McSherry","year":"2000","unstructured":"McSherry, D.: Automating case selection in the construction of a case library. In: Bramer, M., Macintosh, A., Coenen, F. (eds.) Research and Development in Intelligent Systems XVI, pp. 163\u2013177. Springer, London (2000). https:\/\/doi.org\/10.1007\/978-1-4471-0745-3_11"},{"issue":"2","key":"16_CR22","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1111\/0824-7935.00148","volume":"17","author":"D McSherry","year":"2001","unstructured":"McSherry, D.: Intelligent case-authoring support in casemaker-2. Comput. Intell. 17(2), 331\u2013345 (2001)","journal-title":"Comput. Intell."},{"issue":"1","key":"16_CR23","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1201\/1078\/43183.15.1.19980101\/31107.12","volume":"15","author":"OM Mehdi Owrang","year":"1998","unstructured":"Mehdi Owrang, O.M.: Case discovery in case-based reasoning systems. Inf. Syst. Manage. 15(1), 74\u201378 (1998)","journal-title":"Inf. Syst. Manage."},{"issue":"2","key":"16_CR24","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/S0004-3702(98)00059-9","volume":"102","author":"B Smyth","year":"1998","unstructured":"Smyth, B., Keane, M.: Adaptation-guided retrieval: questioning the similarity assumption in reasoning. Artif. Intell. 102(2), 249\u2013293 (1998)","journal-title":"Artif. Intell."},{"key":"16_CR25","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1111\/0824-7935.00142","volume":"17","author":"B Smyth","year":"2001","unstructured":"Smyth, B., McKenna, E.: Competence models and the maintenance problem. Comput. Intell. 17, 235\u2013249 (2001)","journal-title":"Comput. Intell."},{"key":"16_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/3-540-64574-8_436","volume-title":"Tasks and Methods in Applied Artificial Intelligence","author":"B Smyth","year":"1998","unstructured":"Smyth, B.: Case-base maintenance. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds.) IEA\/AIE 1998. LNCS, vol. 1416, pp. 507\u2013516. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/3-540-64574-8_436"},{"key":"16_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/BFb0020625","volume-title":"Advances in Case-Based Reasoning","author":"B Smyth","year":"1996","unstructured":"Smyth, B., Cunningham, P.: The utility problem analysed: a case-based reasoning perspective. In: Smith, I., Faltings, B. (eds.) EWCBR 1996. LNCS, vol. 1168, pp. 392\u2013399. Springer, Heidelberg (1996). https:\/\/doi.org\/10.1007\/BFb0020625"},{"key":"16_CR28","unstructured":"Smyth, B., Keane, M.T.: Remembering to forget. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, pp. 377\u2013382. Citeseer (1995)"},{"issue":"2","key":"16_CR29","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1111\/0824-7935.00142","volume":"17","author":"B Smyth","year":"2001","unstructured":"Smyth, B., McKenna, E.: Competence models and the maintenance problem. Comput. Intell. 17(2), 235\u2013249 (2001)","journal-title":"Comput. Intell."},{"issue":"2\u20133","key":"16_CR30","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/BF00141149","volume":"3","author":"C Vasudevan","year":"1996","unstructured":"Vasudevan, C., Ganesan, K.: Case-based path planning for autonomous underwater vehicles. Auton. Robot. 3(2\u20133), 79\u201389 (1996)","journal-title":"Auton. Robot."},{"key":"16_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-58811-6","volume-title":"Planning and Learning by Analogical Reasoning","author":"M Veloso","year":"1994","unstructured":"Veloso, M.: Planning and Learning by Analogical Reasoning. Springer, Berlin (1994). https:\/\/doi.org\/10.1007\/3-540-58811-6"},{"issue":"1","key":"16_CR32","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/BF00116900","volume":"23","author":"G Widmer","year":"1996","unstructured":"Widmer, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Mach. Learn. 23(1), 69\u2013101 (1996)","journal-title":"Mach. Learn."}],"container-title":["Lecture Notes in Computer Science","Case-Based Reasoning Research and Development"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-40177-0_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T23:08:46Z","timestamp":1691708926000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-40177-0_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031401763","9783031401770"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-40177-0_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Case-Based Reasoning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Aberdeen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccbr2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.comp.rgu.ac.uk\/ICCBR23\/","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":"72","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":"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":"2.7","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":"4.7","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)"}}]}}