{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T01:42:29Z","timestamp":1745199749595},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030445836"},{"type":"electronic","value":"9783030445843"}],"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:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-44584-3_13","type":"book-chapter","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T19:04:42Z","timestamp":1587495882000},"page":"158-170","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Vouw: Geometric Pattern Mining Using the MDL Principle"],"prefix":"10.1007","author":[{"given":"Micky","family":"Faas","sequence":"first","affiliation":[]},{"given":"Matthijs","family":"van Leeuwen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,22]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07821-2","volume-title":"Frequent Pattern Mining","author":"CC Aggarwal","year":"2014","unstructured":"Aggarwal, C.C., Han, J.: Frequent Pattern Mining. Springer, Cham (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-319-07821-2"},{"issue":"6","key":"13_CR2","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1002\/sam.10093","volume":"3","author":"JLC Bilson","year":"2010","unstructured":"Bilson, J.L.C., Keogh, E.J.: A compression-based distance measure for texture. Statistical Analysis and Data Mining 3(6), 381\u2013398 (2010)","journal-title":"Statistical Analysis and Data Mining"},{"key":"13_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1007\/978-3-319-49055-7_12","volume-title":"Structural, Syntactic, and Statistical Pattern Recognition","author":"R Deville","year":"2016","unstructured":"Deville, R., Fromont, E., Jeudy, B., Solnon, C.: GriMa: a grid mining algorithm for bag-of-grid-based classification. In: Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F., Wilson, R. (eds.) S+SSPR 2016. LNCS, vol. 10029, pp. 132\u2013142. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-49055-7_12"},{"key":"13_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/978-3-540-30116-5_18","volume-title":"Knowledge Discovery in Databases: PKDD 2004","author":"A Gionis","year":"2004","unstructured":"Gionis, A., Mannila, H., Sepp\u00e4nen, J.K.: Geometric and combinatorial tiles in 0\u20131 data. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) PKDD 2004. LNCS (LNAI), vol. 3202, pp. 173\u2013184. Springer, Heidelberg (2004). \nhttps:\/\/doi.org\/10.1007\/978-3-540-30116-5_18"},{"key":"13_CR5","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/4643.001.0001","volume-title":"The Minimum Description Length Principle","author":"PD Gr\u00fcnwald","year":"2007","unstructured":"Gr\u00fcnwald, P.D.: The Minimum Description Length Principle. MIT press, Cambridge (2007)"},{"key":"13_CR6","series-title":"Texts in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-49820-1","volume-title":"An Introduction to Kolmogorov Complexity and Its Applications","author":"M Li","year":"2008","unstructured":"Li, M., Vit\u00e1nyi, P.: An Introduction to Kolmogorov Complexity and Its Applications. TCS, vol. 3. Springer, New York (2008). \nhttps:\/\/doi.org\/10.1007\/978-0-387-49820-1"},{"key":"13_CR7","doi-asserted-by":"publisher","first-page":"1372","DOI":"10.1016\/j.ins.2019.10.050","volume":"12","author":"HM Proen\u00e7a","year":"2020","unstructured":"Proen\u00e7a, H.M., van Leeuwen, M.: Interpretable multiclass classification by MDL-based rule lists. Inf. Sci. 12, 1372\u20131393 (2020)","journal-title":"Inf. Sci."},{"issue":"5","key":"13_CR8","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/0005-1098(78)90005-5","volume":"14","author":"J Rissanen","year":"1978","unstructured":"Rissanen, J.: Modeling by shortest data description. Automatica 14(5), 465\u2013471 (1978)","journal-title":"Automatica"},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1214\/aos\/1176346150","volume":"11","author":"J Rissanen","year":"1983","unstructured":"Rissanen, J.: A universal prior for integers and estimation by minimum description length. Ann. Stat. 11, 416\u2013431 (1983)","journal-title":"Ann. Stat."},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Smets, K., Vreeken, J.: Slim: directly mining descriptive patterns. In: Proceedings of the 2012 SIAM International Conference on Data Mining, SIAM, pp. 236\u2013247 (2012)","DOI":"10.1137\/1.9781611972825.21"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Tatti, N., Vreeken, J.: Discovering descriptive tile trees - by mining optimal geometric subtiles. In: Proceedings of ECML PKDD 2012, pp. 9\u201324 (2012)","DOI":"10.1007\/978-3-642-33460-3_6"},{"issue":"1","key":"13_CR12","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s10618-010-0202-x","volume":"23","author":"J Vreeken","year":"2011","unstructured":"Vreeken, J., van Leeuwen, M., Siebes, A.: KRIMP: mining itemsets that compress. Data Min. Knowl. Disc. 23(1), 169\u2013214 (2011)","journal-title":"Data Min. Knowl. Disc."}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis XVIII"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-44584-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T19:08:48Z","timestamp":1587496128000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-44584-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030445836","9783030445843"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-44584-3_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Intelligent Data Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Konstanz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 April 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ida2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ida2020.org\/","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":"114","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":"45","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":"39% - 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":"3,5","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":"6","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)"}}]}}