{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:19:21Z","timestamp":1740122361840,"version":"3.37.3"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T00:00:00Z","timestamp":1716681600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T00:00:00Z","timestamp":1716681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-20-CE23-0023"],"award-info":[{"award-number":["ANR-20-CE23-0023"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Min Knowl Disc"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s10618-024-01037-8","type":"journal-article","created":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T06:01:30Z","timestamp":1716703290000},"page":"2403-2439","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["WaveLSea: helping experts interactively explore pattern mining search spaces"],"prefix":"10.1007","volume":"38","author":[{"given":"Etienne","family":"Lehembre","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno","family":"Cremilleux","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albrecht","family":"Zimmermann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bertrand","family":"Cuissart","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdelkader","family":"Ouali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,26]]},"reference":[{"issue":"1","key":"1037_CR1","doi-asserted-by":"publisher","first-page":"730","DOI":"10.14778\/1687627.1687710","volume":"2","author":"M Al Hasan","year":"2009","unstructured":"Al Hasan M, Zaki MJ (2009) Output space sampling for graph patterns. Proc VLDB Endow 2(1):730\u2013741","journal-title":"Proc VLDB Endow"},{"issue":"4","key":"1037_CR2","first-page":"105","volume":"35","author":"S Amershi","year":"2014","unstructured":"Amershi S, Cakmak M, Knox WB, Kulesza T (2014) Power to the people: the role of humans in interactive machine learning. Ai Mag 35(4):105\u2013120","journal-title":"Ai Mag"},{"key":"1037_CR3","doi-asserted-by":"crossref","unstructured":"Bhuiyan MA, Al\u00a0Hasan M (2016) Priime: a generic framework for interactive personalized interesting pattern discovery. In: 2016 IEEE international conference on big data (Big Data). IEEE, pp 606\u2013615","DOI":"10.1109\/BigData.2016.7840653"},{"issue":"4","key":"1037_CR4","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1002\/sam.11322","volume":"9","author":"M Bhuiyan","year":"2016","unstructured":"Bhuiyan M, Hasan MA (2016) Interactive knowledge discovery from hidden data through sampling of frequent patterns. Stat Anal Data Min ASA Data Sci J 9(4):205\u2013229","journal-title":"Stat Anal Data Min ASA Data Sci J"},{"key":"1037_CR5","doi-asserted-by":"crossref","unstructured":"Boley M, Mampaey M, Kang B, Tokmakov P, Wrobel S (2013) One click mining: interactive local pattern discovery through implicit preference and performance learning. In: Proceedings of the ACM SIGKDD workshop on interactive data exploration and analytics, pp 27\u201335","DOI":"10.1145\/2501511.2501517"},{"key":"1037_CR6","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1007\/s10618-017-0547-5","volume":"32","author":"G Bosc","year":"2018","unstructured":"Bosc G, Boulicaut J-F, Ra\u00efssi C, Kaytoue M (2018) Anytime discovery of a diverse set of patterns with Monte Carlo tree search. Data Min Knowl Discov 32:604\u2013650","journal-title":"Data Min Knowl Discov"},{"key":"1037_CR7","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/978-3-642-41398-8_3","volume-title":"Advances in intelligent data analysis XII","author":"T De Bie","year":"2013","unstructured":"De Bie T (2013) Subjective interestingness in exploratory data mining. In: Tucker A, H\u00f6ppner F, Siebes A, Swift S (eds) Advances in intelligent data analysis XII. Springer, Berlin, pp 19\u201331"},{"key":"1037_CR8","doi-asserted-by":"crossref","unstructured":"Du B, Zhang S, Cao N, Tong H (2017) FIRST: fast Interactive attributed subgraph matching. In: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. ACM, Halifax, pp 1447\u20131456","DOI":"10.1145\/3097983.3098040"},{"key":"1037_CR9","doi-asserted-by":"crossref","unstructured":"Dzyuba V, Leeuwen M (2013) Interactive discovery of interesting subgroup sets. In: Advances in intelligent data analysis XII: 12th international symposium, IDA 2013, London, UK, October 17\u201319, 2013. Proceedings 12. Springer, pp 150\u2013161","DOI":"10.1007\/978-3-642-41398-8_14"},{"key":"1037_CR10","doi-asserted-by":"crossref","unstructured":"Dzyuba V, Leeuwen M (2017) Learning what matters-sampling interesting patterns. In: PAKDD 2017, proceedings, part I, pp 534\u2013546","DOI":"10.1007\/978-3-319-57454-7_42"},{"key":"1037_CR11","doi-asserted-by":"crossref","unstructured":"Dzyuba V, Leeuwen MV, Nijssen S, Raedt LD (2013) Active preference learning for ranking patterns. In: 2013 IEEE 25th international conference on tools with artificial intelligence. IEEE, Herndon, pp 532\u2013539","DOI":"10.1109\/ICTAI.2013.85"},{"key":"1037_CR12","doi-asserted-by":"crossref","unstructured":"Fournier-Viger P, Gan W, Wu Y, Nouioua M, Song W, Truong T, Duong H (2022) Pattern mining: current challenges and opportunities. In: International conference on database systems for advanced applications. Springer, pp 34\u201349","DOI":"10.1007\/978-3-031-11217-1_3"},{"key":"1037_CR13","unstructured":"Galbrun E, Miettinen P (2012) A case of visual and interactive data analysis: geospatial redescription mining. In: Proceedings of the instant interactive data mining workshop at ECML-PKDD 2012, IID 12, Bristol, UK, pp 1\u201312"},{"key":"1037_CR14","doi-asserted-by":"crossref","unstructured":"Gallo A, De\u00a0Bie T, Cristianini N (2007) Mini: mining informative non-redundant itemsets. In: Knowledge discovery in databases: PKDD 2007: 11th European conference on principles and practice of knowledge discovery in databases, Warsaw, Poland, September 17\u201321, 2007. Proceedings 11. Springer, pp 438\u2013445","DOI":"10.1007\/978-3-540-74976-9_44"},{"key":"1037_CR15","doi-asserted-by":"crossref","unstructured":"Giacometti A, Soulet A (2017) Interactive pattern sampling for characterizing unlabeled data. In: Adams N, Tucker A, Weston D (eds) Advances in intelligent data analysis XVI. Lecture notes in computer science, vol 10584. Springer, Cham, pp 99\u2013111","DOI":"10.1007\/978-3-319-68765-0_9"},{"key":"1037_CR16","doi-asserted-by":"crossref","unstructured":"Gyongyi Z, Garcia-Molina H, Pedersen J (2004) Combating web spam with trustrank. In: Proceedings of the 30th international conference on very large data bases (VLDB)","DOI":"10.1016\/B978-012088469-8\/50052-8"},{"key":"1037_CR17","doi-asserted-by":"crossref","unstructured":"Hien A, Loudni S, Aribi N, Lebbah Y, Laghzaoui MEA, Ouali A, Zimmermann A (2021) A relaxation-based approach for mining diverse closed patterns. In: Machine learning and knowledge discovery in databases: European conference, ECML PKDD 2020, Ghent, Belgium, September 14\u201318, 2020, Proceedings, Part I. Springer, pp 36\u201354","DOI":"10.1007\/978-3-030-67658-2_3"},{"key":"1037_CR18","unstructured":"Hien A, Loudni S, Aribi N, Ouali A, Zimmermann A (2022) Exploiting complex pattern features for interactive pattern mining. arXiv. arXiv:2204.04242 [cs]"},{"key":"1037_CR19","doi-asserted-by":"crossref","unstructured":"Kifer D, Gehrke J, Bucila C, White WM (2003) How to quickly find a witness. In: PODS, pp 272\u2013283","DOI":"10.1145\/773153.773180"},{"key":"1037_CR20","doi-asserted-by":"crossref","unstructured":"Kuznetsov SO, Obiedkov SA (2001) Algorithms for the construction of concept lattices and their diagram graphs. In: PKDD. Springer, pp 289\u2013300","DOI":"10.1007\/3-540-44794-6_24"},{"issue":"2","key":"1037_CR21","first-page":"153","volume":"5","author":"N Lavrac","year":"2004","unstructured":"Lavrac N, Flach P, Todorovski L (2004) Subgroup discovery with cn2-sd. J Mach Learn Res 5(2):153\u2013188","journal-title":"J Mach Learn Res"},{"key":"1037_CR22","doi-asserted-by":"crossref","unstructured":"Ledo D, Houben S, Vermeulen J, Marquardt N, Oehlberg L, Greenberg S (2018) Evaluation strategies for HCI toolkit research. In: Proceedings of the 2018 CHI conference on human factors in computing systems. ACM, Montreal, pp 1\u201317","DOI":"10.1145\/3173574.3173610"},{"key":"1037_CR23","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-662-43968-5_9","volume-title":"Interactive knowledge discovery and data mining in biomedical informatics: state-of-the-art and future challenges","author":"M Leeuwen","year":"2014","unstructured":"Leeuwen M (2014) Interactive data exploration using pattern mining. In: Holzinger A, Jurisica I (eds) Interactive knowledge discovery and data mining in biomedical informatics: state-of-the-art and future challenges. Springer, Berlin, pp 169\u2013182"},{"issue":"1","key":"1037_CR24","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s10994-015-5539-3","volume":"105","author":"M Leeuwen","year":"2016","unstructured":"Leeuwen M, De Bie T, Spyropoulou E, Mesnage C (2016) Subjective interestingness of subgraph patterns. Mach Learn 105(1):41\u201375","journal-title":"Mach Learn"},{"issue":"1","key":"1037_CR25","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1186\/s13321-023-00782-0","volume":"15","author":"E Lehembre","year":"2023","unstructured":"Lehembre E, Giovannini J, Geslin D, Lepailleur A, Lamotte J-L, Auber D, Ouali A, Cremilleux B, Zimmermann A, Cuissart B, Bureau R (2023) Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta. J Cheminform 15(1):116","journal-title":"J Cheminform"},{"key":"1037_CR26","doi-asserted-by":"crossref","unstructured":"Lehembre E, Bureau R, Cr\u00e9milleux B, Cuissart B, Lamotte J-L, Lepailleur A, Ouali A, Zimmermann A (2022) Selecting outstanding patterns based on their neighbourhood. In: IDA. Springer, pp 185\u2013198","DOI":"10.1007\/978-3-031-01333-1_15"},{"issue":"8","key":"1037_CR27","doi-asserted-by":"publisher","first-page":"3551","DOI":"10.1021\/acs.jmedchem.7b01890","volume":"61","author":"J-P M\u00e9tivier","year":"2018","unstructured":"M\u00e9tivier J-P, Cuissart B, Bureau R, Lepailleur A (2018) The pharmacophore network: a computational method for exploring structure-activity relationships from a large chemical data set. J Med Chem 61(8):3551\u20133564","journal-title":"J Med Chem"},{"key":"1037_CR28","doi-asserted-by":"crossref","unstructured":"Pasquier N, Bastide Y, Taouil R, Lakhal L (1999) Discovering frequent closed itemsets for association rules. In: ICDT. Springer, pp 398\u2013416","DOI":"10.1007\/3-540-49257-7_25"},{"issue":"3","key":"1037_CR29","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1023\/B:DAMI.0000023674.74932.4c","volume":"8","author":"J Pei","year":"2004","unstructured":"Pei J, Han J, Lakshmanan LVS (2004) Pushing convertible constraints in frequent itemset mining. Data Min Knowl Discov 8(3):227\u2013252","journal-title":"Data Min Knowl Discov"},{"key":"1037_CR30","doi-asserted-by":"crossref","unstructured":"Raedt LD, Zimmermann A (2007) Constraint-based pattern set mining. In: Proceedings of the 2007 SIAM international conference on data mining (SDM), pp 237\u2013248","DOI":"10.1137\/1.9781611972771.22"},{"key":"1037_CR31","doi-asserted-by":"crossref","unstructured":"Rueping S (2009) Ranking interesting subgroups. In: Proceedings of the 26th annual international conference on machine learning, pp 913\u2013920","DOI":"10.1145\/1553374.1553491"},{"issue":"4","key":"1037_CR32","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1002\/sam.11277","volume":"8","author":"TK Saha","year":"2015","unstructured":"Saha TK, Al Hasan M (2015) Fs3: a sampling based method for top-k frequent subgraph mining. Stat Anal Data Min ASA Data Sci J 8(4):245\u2013261","journal-title":"Stat Anal Data Min ASA Data Sci J"},{"issue":"4","key":"1037_CR33","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/S0306-4379(03)00072-3","volume":"29","author":"P Tan","year":"2004","unstructured":"Tan P, Kumar V, Srivastava J (2004) Selecting the right objective measure for association analysis. Inf Syst 29(4):293\u2013313","journal-title":"Inf Syst"},{"key":"1037_CR34","doi-asserted-by":"crossref","unstructured":"Todorovski L, Flach P, Lavra\u010d N (2000) Predictive performance of weighted relative accuracy. In: PKDD. Springer, pp 255\u2013264","DOI":"10.1007\/3-540-45372-5_25"},{"key":"1037_CR35","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1007\/11564096_42","volume-title":"Machine learning: ECML 2005","author":"J Vermorel","year":"2005","unstructured":"Vermorel J, Mohri M (2005) Multi-armed bandit algorithms and empirical evaluation. In: Gama J, Camacho R, Brazdil PB, Jorge AM, Torgo L (eds) Machine learning: ECML 2005. Springer, Berlin, pp 437\u2013448"},{"key":"1037_CR36","doi-asserted-by":"crossref","unstructured":"Wang Y, Li Z, Farimani AB (2023) Graph neural networks for molecules. Springer, pp 21\u201366","DOI":"10.1007\/978-3-031-37196-7_2"},{"key":"1037_CR37","first-page":"1","volume":"8","author":"J Wu","year":"2022","unstructured":"Wu J, Liu D, Guo Z, Wu Y (2022) RASIPAM: interactive pattern mining of multivariate event sequences in racket sports. IEEE Trans Visual Comput Graph 8:1\u201311","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1037_CR38","doi-asserted-by":"crossref","unstructured":"Xin D, Cheng H, Yan X, Han J (2006) Extracting redundancy-aware top-k patterns. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, Philadelphia, pp 444\u2013453","DOI":"10.1145\/1150402.1150452"},{"key":"1037_CR39","doi-asserted-by":"crossref","unstructured":"Xin D, Shen X, Mei Q, Han J (2006) Discovering interesting patterns through user\u2019s interactive feedback. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining-KDD \u201906. ACM Press, Philadelphia, p 773","DOI":"10.1145\/1150402.1150502"},{"issue":"6","key":"1037_CR40","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1016\/j.drudis.2021.02.011","volume":"26","author":"J Xiong","year":"2021","unstructured":"Xiong J, Xiong Z, Chen K, Jiang H, Zheng M (2021) Graph neural networks for automated de novo drug design. Drug Discov Today 26(6):1382\u20131393","journal-title":"Drug Discov Today"},{"key":"1037_CR41","doi-asserted-by":"publisher","first-page":"108080","DOI":"10.1016\/j.knosys.2021.108080","volume":"240","author":"Y Yu","year":"2022","unstructured":"Yu Y, Wang W, Wu N, Liu H, Shao M (2022) IISD: integrated interaction subgraph detection for event mining. Knowl Based Syst 240:108080","journal-title":"Knowl Based Syst"},{"key":"1037_CR42","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.neucom.2022.08.072","volume":"509","author":"Y Yu","year":"2022","unstructured":"Yu Y, Wang W, Shao M, Wu N, Sun Y, Sun Y, Tian Q (2022) Multi-users interaction anomalous subgraph detection for event mining. Neurocomputing 509:34\u201345","journal-title":"Neurocomputing"}],"container-title":["Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-024-01037-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10618-024-01037-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-024-01037-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T10:39:48Z","timestamp":1722335988000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10618-024-01037-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,26]]},"references-count":42,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["1037"],"URL":"https:\/\/doi.org\/10.1007\/s10618-024-01037-8","relation":{},"ISSN":["1384-5810","1573-756X"],"issn-type":[{"type":"print","value":"1384-5810"},{"type":"electronic","value":"1573-756X"}],"subject":[],"published":{"date-parts":[[2024,5,26]]},"assertion":[{"value":"29 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}