{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T05:27:38Z","timestamp":1775021258949,"version":"3.50.1"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,7,9]],"date-time":"2022-07-09T00:00:00Z","timestamp":1657324800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,9]],"date-time":"2022-07-09T00:00:00Z","timestamp":1657324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Ministry of Information and Communication Technology, Bangladesh","award":["56.00.0000.028.33.004.21-11"],"award-info":[{"award-number":["56.00.0000.028.33.004.21-11"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s10489-022-03699-7","type":"journal-article","created":{"date-parts":[[2022,7,9]],"date-time":"2022-07-09T08:03:07Z","timestamp":1657353787000},"page":"6525-6553","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Discovering probabilistically weighted sequential patterns in uncertain databases"],"prefix":"10.1007","volume":"53","author":[{"given":"Md Sahidul","family":"Islam","sequence":"first","affiliation":[]},{"given":"Pankaj Chandra","family":"Kar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8212-1938","authenticated-orcid":false,"given":"Md","family":"Samiullah","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6101-4591","authenticated-orcid":false,"given":"Chowdhury Farhan","family":"Ahmed","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7541-9127","authenticated-orcid":false,"given":"Carson Kai-Sang","family":"Leung","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,9]]},"reference":[{"key":"3699_CR1","unstructured":"FIMI - frequent itemset mining dataset repository"},{"key":"3699_CR2","unstructured":"Probabilistic database - wikipedia (2008) https:\/\/en.wikipedia.org\/wiki\/Probabilistic_database. Accessed 01 Feb 2022"},{"key":"3699_CR3","unstructured":"SPMF: an open-source data mining library (2008) http:\/\/www.philippe-fournier-viger.com\/spmf\/index.php?link=datasets.php. Accessed 01 Feb 2022"},{"key":"3699_CR4","unstructured":"Type 2 diabetes causes: genetics and lifestyle choices play a role (2018) https:\/\/www.endocrineweb.com\/conditions\/type-2-diabetes\/type-2-diabetes-causes. Accessed 04 Aug 2021"},{"key":"3699_CR5","unstructured":"(2021) Probability mass function. https:\/\/en.wikipedia.org\/wiki\/Probability_mass_function. Accessed 01 Feb 2022"},{"key":"3699_CR6","unstructured":"Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th international conference on very large data bases (VLDB 1994), pp 487\u2013499"},{"key":"3699_CR7","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.ins.2016.03.007","volume":"354","author":"AU Ahmed","year":"2016","unstructured":"Ahmed AU, Ahmed CF, Samiullah M, Adnan N, Leung CKS (2016) Mining interesting patterns from uncertain databases. Inf Sci 354:60\u201385. https:\/\/doi.org\/10.1016\/j.ins.2016.03.007","journal-title":"Inf Sci"},{"issue":"11","key":"3699_CR8","doi-asserted-by":"publisher","first-page":"2578","DOI":"10.1093\/ietisy\/e91-d.11.2578","volume":"91","author":"CF Ahmed","year":"2008","unstructured":"Ahmed CF, Tanbeer SK, Jeong BS, Lee YK (2008) Handling dynamic weights in weighted frequent pattern mining. IEICE Trans Inf Syst 91(11):2578\u20132588","journal-title":"IEICE Trans Inf Syst"},{"key":"3699_CR9","doi-asserted-by":"crossref","unstructured":"Bernecker T, Kriegel HP, Renz M, Verhein F, Zuefle A (2009) Probabilistic frequent itemset mining in uncertain databases. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, pp 119\u2013128","DOI":"10.1145\/1557019.1557039"},{"key":"3699_CR10","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.future.2013.10.026","volume":"37","author":"A Cuzzocrea","year":"2014","unstructured":"Cuzzocrea A, Leung CKS, MacKinnon RK (2014) Mining constrained frequent itemsets from distributed uncertain data. Futur Gener Comput Syst 37:117\u2013126","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"3699_CR11","first-page":"54","volume":"1","author":"P Fournier-Viger","year":"2017","unstructured":"Fournier-Viger P, Lin JCW, Kiran RU, Koh YS, Thomas R (2017) A survey of sequential pattern mining. Data Science and Pattern Recognition 1(1):54\u201377","journal-title":"Data Science and Pattern Recognition"},{"key":"3699_CR12","doi-asserted-by":"crossref","unstructured":"Han J, Pei J, Mortazavi-Asl B, Chen Q, Dayal U, Hsu MC (2000) Freespan: frequent pattern-projected sequential pattern mining. In: Proceedings of the sixth ACM SIGKDD international conference on knowledge discovery and data mining, pp 355\u2013359","DOI":"10.1145\/347090.347167"},{"key":"3699_CR13","doi-asserted-by":"crossref","unstructured":"Hooshsadat M, Bayat S, Naeimi P, Mirian MS, Zaiane OR (2012) UApriori: an algorithm for finding sequential patterns in probabilistic data. In: Uncertainty modeling in knowledge engineering and decision making. World Scientific, pp 907\u2013912","DOI":"10.1142\/9789814417747_0145"},{"issue":"2","key":"3699_CR14","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1007\/s10489-014-0530-4","volume":"41","author":"GC Lan","year":"2014","unstructured":"Lan GC, Hong TP, Lee HY (2014) An efficient approach for finding weighted sequential patterns from sequence databases. Appl Intell 41(2):439\u2013452","journal-title":"Appl Intell"},{"key":"3699_CR15","doi-asserted-by":"crossref","unstructured":"Leung CKS, Brajczuk DA (2009) Efficient algorithms for mining constrained frequent patterns from uncertain data. In: Proceedings of the ACM SIGKDD workshop on knowledge discovery from uncertain data 2009, pp 9\u201318","DOI":"10.1145\/1610555.1610557"},{"key":"3699_CR16","doi-asserted-by":"crossref","unstructured":"Leung CKS, Mateo MAF, Brajczuk DA (2008) A tree-based approach for frequent pattern mining from uncertain data. In: Proceedings of the Pacific-Asia conference on knowledge discovery and data mining (PAKDD 2008). Springer, pp 653\u2013661","DOI":"10.1007\/978-3-540-68125-0_61"},{"key":"3699_CR17","doi-asserted-by":"crossref","unstructured":"Leung CKS, Tanbeer SK (2013) PUF-tree: a compact tree structure for frequent pattern mining of uncertain data. In: Proceedings of the pacific-asia conference on knowledge discovery and data mining (PAKDD 2013). Springer, pp 13\u201325","DOI":"10.1007\/978-3-642-37453-1_2"},{"issue":"1","key":"3699_CR18","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1007\/s10489-015-0703-9","volume":"44","author":"JCW Lin","year":"2016","unstructured":"Lin JCW, Gan W, Fournier-Viger P, Hong TP, Tseng VS (2016) Weighted frequent itemset mining over uncertain databases. Appl Intell 44(1):232\u2013250","journal-title":"Appl Intell"},{"key":"3699_CR19","unstructured":"Menzel C (2021) Possible worlds. In: The Stanford encyclopedia of philosophy (fall 2021 edn)"},{"key":"3699_CR20","doi-asserted-by":"crossref","unstructured":"Muzammal M, Raman R (2010) On probabilistic models for uncertain sequential pattern mining. In: Proceedings of the international conference on advanced data mining and applications (ADMA 2010). Springer, pp 60\u201372","DOI":"10.1007\/978-3-642-17316-5_6"},{"issue":"11","key":"3699_CR21","doi-asserted-by":"publisher","first-page":"1424","DOI":"10.1109\/TKDE.2004.77","volume":"16","author":"J Pei","year":"2004","unstructured":"Pei J, Han J, Mortazavi-Asl B, Wang J, Pinto H, Chen Q, Dayal U, Hsu MC (2004) Mining sequential patterns by pattern-growth: the PrefixSpan approach. IEEE Trans Knowl Data Eng 16(11):1424\u20131440","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3699_CR22","doi-asserted-by":"crossref","unstructured":"Pei JHJ, Yin Y (2000) Mining frequent patterns without candidate generation. In: Proceedings of the 2000 ACM SIGMOD international conference on management of data, pp 1\u201312","DOI":"10.1145\/335191.335372"},{"key":"3699_CR23","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.ins.2018.11.026","volume":"479","author":"MM Rahman","year":"2019","unstructured":"Rahman MM, Ahmed CF, Leung CKS (2019) Mining weighted frequent sequences in uncertain databases. Inf Sci 479:76\u2013100","journal-title":"Inf Sci"},{"key":"3699_CR24","doi-asserted-by":"crossref","unstructured":"Srikant R, Agrawal R (1996) Mining sequential patterns: generalizations and performance improvements. In: Proceedings of the international conference on extending database technology (ICDT 1996). Springer, pp 1\u201317","DOI":"10.1007\/BFb0014140"},{"key":"3699_CR25","doi-asserted-by":"crossref","unstructured":"Sun L, Cheng R, Cheung DW, Cheng J (2010) Mining uncertain data with probabilistic guarantees. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, pp 273\u2013282","DOI":"10.1145\/1835804.1835841"},{"key":"3699_CR26","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.ins.2021.08.070","volume":"582","author":"HM Huynh","year":"2022","unstructured":"Huynh HM, Nguyen LTT, Vo B, Oplatkov\u00e1 ZK, Fournier-Viger P, Yun U (2022) An efficient parallel algorithm for mining weighted clickstream patterns. Inf Sci 582:349\u2013368","journal-title":"Inf Sci"},{"key":"3699_CR27","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.future.2020.01.034","volume":"107","author":"HM Huynh","year":"2020","unstructured":"Huynh HM, Nguyen LTT, Vo B, Yun U, Oplatkov\u00e1 ZK, Hong TP (2020) Efficient algorithms for mining clickstream patterns using pseudo-IDLists. Futur Gener Comput Syst 107:18\u201330","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"3699_CR28","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1007\/s10489-021-02290-w","volume":"52","author":"MA Islam","year":"2022","unstructured":"Islam MA, Rafi MR, Azad A, Ovi JA (2022) Weighted frequent sequential pattern mining. Appl Intell 52(1):254\u2013281","journal-title":"Appl Intell"},{"key":"3699_CR29","doi-asserted-by":"crossref","unstructured":"Truong T, Duong H, Le B, Fournier-Viger P, Yun U, Fujita H (2021) Efficient algorithms for mining frequent high utility sequences with constraints. Inf Sci 568:239\u2013264","DOI":"10.1016\/j.ins.2021.01.060"},{"key":"3699_CR30","doi-asserted-by":"crossref","unstructured":"Vo B, Nguyen HC, Huynh B, Le T (2021) Efficient methods for clickstream pattern mining on incremental databases. IEEE Access 9:161305\u2013161317","DOI":"10.1109\/ACCESS.2021.3131577"},{"key":"3699_CR31","doi-asserted-by":"crossref","unstructured":"Tong W, Leung CK, Liu D, Yu J (2015) Probabilistic frequent pattern mining by PUH-Mine. In: Proceedings of the Asia-Pacific web conference (APWeb 2015). Springer, pp 768\u2013780","DOI":"10.1007\/978-3-319-25255-1_63"},{"key":"3699_CR32","doi-asserted-by":"crossref","unstructured":"You T, Li T, Du C, Zhai X, Jiang N (2017) Discovering probabilistic weighted frequent itemsets over uncertain data. In: Proceedings of 13th international conference on natural computation, fuzzy systems and knowledge discovery (ICNC-FSKD 2017). IEEE, pp 1728\u20131734","DOI":"10.1109\/FSKD.2017.8393027"},{"issue":"17","key":"3699_CR33","doi-asserted-by":"publisher","first-page":"3477","DOI":"10.1016\/j.ins.2007.03.018","volume":"177","author":"U Yun","year":"2007","unstructured":"Yun U (2007) Efficient mining of weighted interesting patterns with a strong weight and\/or support affinity. Inf Sci 177(17):3477\u20133499","journal-title":"Inf Sci"},{"key":"3699_CR34","doi-asserted-by":"crossref","unstructured":"Yun U, Leggett JJ (2006) WSpan: weighted sequential pattern mining in large sequence databases. In: Proceedings of the 3rd IEEE international conference on intelligent systems (IS 2006). IEEE, pp 512\u2013517","DOI":"10.1109\/IS.2006.348472"},{"issue":"1","key":"3699_CR35","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1007652502315","volume":"42","author":"MJ Zaki","year":"2001","unstructured":"Zaki MJ (2001) SPADE: an efficient algorithm for mining frequent sequences. Mach Learn 42 (1):31\u201360","journal-title":"Mach Learn"},{"issue":"8","key":"3699_CR36","doi-asserted-by":"publisher","first-page":"10890","DOI":"10.1016\/j.eswa.2009.02.016","volume":"36","author":"S Zhang","year":"2009","unstructured":"Zhang S, Zhang J, Jin Z (2009) A decremental algorithm of frequent itemset maintenance for mining updated databases. Expert Syst Appl 36(8):10890\u201310895","journal-title":"Expert Syst Appl"},{"issue":"5","key":"3699_CR37","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.1109\/TKDE.2013.124","volume":"26","author":"Z Zhao","year":"2013","unstructured":"Zhao Z, Yan D, Ng W (2013) Mining probabilistically frequent sequential patterns in large uncertain databases. IEEE Trans Knowl Data Eng 26(5):1171\u20131184","journal-title":"IEEE Trans Knowl Data Eng"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03699-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03699-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03699-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T04:35:20Z","timestamp":1677472520000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03699-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,9]]},"references-count":37,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["3699"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03699-7","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,9]]},"assertion":[{"value":"29 April 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}