{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T20:18:05Z","timestamp":1778271485807,"version":"3.51.4"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032253040","type":"print"},{"value":"9783032253057","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-25305-7_30","type":"book-chapter","created":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T19:57:50Z","timestamp":1778270270000},"page":"385-394","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Parallel, Geometric Algorithm for\u00a0Transformed Pattern Matching in\u00a0Polyphonic Music"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9601-5017","authenticated-orcid":false,"given":"David","family":"Meredith","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,9]]},"reference":[{"key":"30_CR1","unstructured":"Clifford, R., Christodoulakis, M., Crawford, T., Meredith, D., Wiggins, G.A.: A fast, randomised, maximum subset matching algorithm for document-level music retrieval. In: ISMIR 2006 (2006). https:\/\/ismir2006.ismir.net\/PAPERS\/ISMIR06120_Paper.pdf"},{"key":"30_CR2","doi-asserted-by":"publisher","unstructured":"Laaksonen, A.: Two-dimensional point set pattern matching with horizontal scaling. In: Proceedings of the Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA\u00a02015) (2015). https:\/\/doi.org\/10.14236\/ewic\/FDIA2015.9","DOI":"10.14236\/ewic\/FDIA2015.9"},{"key":"30_CR3","unstructured":"Lemstr\u00f6m, K.: Towards more robust geometric content-based music retrieval. In: ISMIR 2010, pp. 577\u2013582 (2010). https:\/\/archives.ismir.net\/ismir2010\/paper\/000099.pdf"},{"key":"30_CR4","unstructured":"Lemstr\u00f6m, K., Mikkil\u00e4, N., M\u00e4kinen, V.: Fast index based filters for music retrieval. In: ISMIR 2008, pp. 677\u2013682 (2008). https:\/\/archives.ismir.net\/ismir2008\/paper\/000132.pdf"},{"issue":"3","key":"30_CR5","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1080\/09298215.2015.1045003","volume":"44","author":"D Meredith","year":"2015","unstructured":"Meredith, D.: Music analysis and point-set compression. J. New Music Res. 44(3), 245\u2013270 (2015). https:\/\/doi.org\/10.1080\/09298215.2015.1045003","journal-title":"J. New Music Res."},{"key":"30_CR6","doi-asserted-by":"publisher","unstructured":"Meredith, D.: Understanding and compressing music with maximal transformable patterns. In: LNCS, vol. 14035, pp. 309\u2013325. Springer, Heidelberg (2023). https:\/\/doi.org\/10.1007\/978-3-031-34732-0_24","DOI":"10.1007\/978-3-031-34732-0_24"},{"issue":"4","key":"30_CR7","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1076\/jnmr.31.4.321.14162","volume":"31","author":"D Meredith","year":"2002","unstructured":"Meredith, D., Lemstr\u00f6m, K., Wiggins, G.A.: Algorithms for discovering repeated patterns in multidimensional representations of polyphonic music. J. New Music Res. 31(4), 321\u2013345 (2002). https:\/\/doi.org\/10.1076\/jnmr.31.4.321.14162","journal-title":"J. New Music Res."},{"key":"30_CR8","unstructured":"Soucy, J.P.: Six French composers\u2019 homage to Haydn: an analytical comparison enlightening their conception of tombeau. Master\u2019s thesis, McGill University, Montr\u00e9al (2009). https:\/\/escholarship.mcgill.ca\/downloads\/rb68xh19n"},{"key":"30_CR9","doi-asserted-by":"publisher","unstructured":"Ukkonen, E., Lemstr\u00f6m, K., M\u00e4kinen, V.: Sweepline the music! In: LNCS, vol. 2598, pp. 330\u2013342. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-36477-3_25","DOI":"10.1007\/3-540-36477-3_25"},{"key":"30_CR10","unstructured":"Wiggins, G.A., Lemstr\u00f6m, K., Meredith, D.: SIA(M)ESE: an algorithm for transposition invariant, polyphonic content-based music retrieval. In: ISMIR 2002, pp. 283\u2013284 (2002). https:\/\/ismir2002.ismir.net\/proceedings\/03-SP03-4.pdf"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Principles and Practice of Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-25305-7_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T19:57:52Z","timestamp":1778270272000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-25305-7_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032253040","9783032253057"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-25305-7_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"9 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vilnius","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2024.ecmlpkdd.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}