{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T02:19:13Z","timestamp":1767665953257},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,2,20]],"date-time":"2016-02-20T00:00:00Z","timestamp":1455926400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Inf Syst"],"published-print":{"date-parts":[[2016,8]]},"DOI":"10.1007\/s10844-016-0396-5","type":"journal-article","created":{"date-parts":[[2016,2,20]],"date-time":"2016-02-20T01:58:06Z","timestamp":1455933486000},"page":"135-163","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Evidential data mining: precise support and confidence"],"prefix":"10.1007","volume":"47","author":[{"given":"Ahmed","family":"Samet","sequence":"first","affiliation":[]},{"given":"Eric","family":"Lef\u00e8vre","sequence":"additional","affiliation":[]},{"given":"Sadok","family":"Ben Yahia","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,2,20]]},"reference":[{"key":"396_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-09690-2","volume-title":"Managing and mining uncertain data","author":"CC Aggarwal","year":"2009","unstructured":"Aggarwal, C.C. (2009). Managing and mining uncertain data Vol. 35. Berlin Heidelberg New York: Springer."},{"key":"396_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Li, Y., Wang, J., & Wang, J. (2009). Frequent pattern mining with uncertain data. In Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, Paris, France (pp. 29\u201338).","DOI":"10.1145\/1557019.1557030"},{"key":"396_CR3","unstructured":"Agrawal, R., & Srikant, R. (1994). Fast algorithm for mining association rules. In Proceedings of international conference on very large databases, VLDB, Santiago de Chile, Chile (pp. 487\u2013499)."},{"key":"396_CR4","doi-asserted-by":"crossref","unstructured":"Bach Tobji, M.A., Ben Yaghlane, B., & Mellouli, K. (2009). Incremental maintenance of frequent itemsets in evidential databases. In Proceedings of the 10th European conference on symbolic and quantitative approaches to reasoning with uncertainty, Verona, Italy (pp. 457\u2013468).","DOI":"10.1007\/978-3-642-02906-6_40"},{"issue":"2","key":"396_CR5","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/0169-023X(95)00029-R","volume":"18","author":"DA Bell","year":"1996","unstructured":"Bell, D.A., Guan, J., & Lee, S.K. (1996). Generalized union and project operations for pooling uncertain and imprecise information. Data & Knowledge Engineering, 18(2), 89\u2013117.","journal-title":"Data & Knowledge Engineering"},{"issue":"1","key":"396_CR6","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1145\/1147234.1147248","volume":"8","author":"S Ben Yahia","year":"2006","unstructured":"Ben Yahia, S., Hamrouni, T., & Mephu Nguifo, E. (2006). Frequent closed itemset based algorithms: a thorough structural and analytical survey. SIGKDD Explorations, 8(1), 93\u2013104.","journal-title":"SIGKDD Explorations"},{"key":"396_CR7","doi-asserted-by":"crossref","unstructured":"Chui, C.K., Kao, B., & Hung, E. (2007). Mining frequent itemsets from uncertain data. In Proceedings of the 11th Pacific-Asia conference on advances in knowledge discovery and data mining, Nanjing, China (pp. 47\u201358).","DOI":"10.1007\/978-3-540-71701-0_8"},{"key":"396_CR8","doi-asserted-by":"crossref","unstructured":"Dempster, A. (1967). Upper and lower probabilities induced by multivalued mapping. AMS-38.","DOI":"10.1214\/aoms\/1177698950"},{"key":"396_CR9","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4684-5287-7","volume-title":"Possibility theory: an approach to computerized processing of uncertainty","author":"D Dubois","year":"1988","unstructured":"Dubois, D., & Prade, H. (1988). Possibility theory: an approach to computerized processing of uncertainty. New York: Plenum Press."},{"key":"396_CR10","first-page":"347","volume-title":"Proceedings of the 6th annual conference on uncertainty in artificial intelligence, UAI\u201990","author":"R Fagin","year":"1990","unstructured":"Fagin, R., & Halpern, J.Y. (1990). A new approach to updating beliefs. In Proceedings of the 6th annual conference on uncertainty in artificial intelligence, UAI\u201990 (pp. 347\u2013374). Amsterdam: Elsevier."},{"key":"396_CR11","unstructured":"Frank, A., & Asuncion, A. (2010). UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml ."},{"key":"396_CR12","unstructured":"G\u00e4rdenfors, P. (1983). Probabilistic reasoning and evidentiary value. In Evidentiary value: philosophical, judicial, and psychological aspects of a theory: essays dedicated to S\u00f6ren Halld\u00e9n on his 60th Birthday. C.W.K. Gleerups."},{"issue":"6","key":"396_CR13","doi-asserted-by":"crossref","first-page":"1446","DOI":"10.1109\/TSMCB.2007.903536","volume":"37","author":"KKR Hewawasam","year":"2007","unstructured":"Hewawasam, K.K.R., Premaratne, K., & Shyu, M.L. (2007). Rule mining and classification in a situation assessment application: a belief-theoretic approach for handling data imperfections. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 37 (6), 1446\u20131459.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B"},{"key":"396_CR14","doi-asserted-by":"crossref","unstructured":"Hewawasam, K.K.R., Premaratne, K., Shyu, M.L., & Subasingha, S.P. (2005). Rule mining and classification in the presence of feature level and class label ambiguities. In SPIE 5803, intelligent computing: theory and applications III, Vol. 98.","DOI":"10.1117\/12.603993"},{"issue":"5","key":"396_CR15","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/S1088-467X(99)00028-1","volume":"3","author":"TP Hong","year":"1999","unstructured":"Hong, T.P., Kuo, C.S., & Chi, S.C. (1999). Mining association rules from quantitative data. Intelligent Data Analysis, 3(5), 363\u2013376.","journal-title":"Intelligent Data Analysis"},{"issue":"1","key":"396_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.asoc.2004.03.009","volume":"5","author":"TP Hong","year":"2004","unstructured":"Hong, T.P., Kuo, C.S., & Wang, S.L. (2004). A fuzzy AprioriTid mining algorithm with reduced computational time. Applied Soft Computing, 5(1), 1\u201310.","journal-title":"Applied Soft Computing"},{"issue":"2","key":"396_CR17","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.ijar.2011.07.006","volume":"53","author":"AL Jousselme","year":"2012","unstructured":"Jousselme, A.L., & Maupin, P. (2012). Distance in evidence theory: comprehensive survey and generalizations. International Journal of Approximate Reasoning, 53(2), 118\u2013145.","journal-title":"International Journal of Approximate Reasoning"},{"key":"396_CR18","unstructured":"Lee, S.K. (1992). An extended relational database model for uncertain and imprecise information. In Proceedings of the 18th international conference on very large data bases, VLDB92, Vancouver, British Columbia, Canada (pp. 211\u2013220)."},{"key":"396_CR19","doi-asserted-by":"crossref","unstructured":"Lee, S.K. (1992). Imprecise and uncertain information in databases: an evidential approach. In Proceedings of 8th international conference on data engineering, Tempe, AZ (pp. 614\u2013621).","DOI":"10.1109\/ICDE.1992.213147"},{"key":"396_CR20","doi-asserted-by":"crossref","unstructured":"Leung, C.K.S., Mateo, M.A.F., & Brajczuk, D.A. (2008). A tree-based approach for frequent pattern mining from uncertain data. In Proceedings of 12th Pacific-Asia conference on knowledge discovery and data mining, Osaka, Japan (vol. 5012 pp. 653\u2013661).","DOI":"10.1007\/978-3-540-68125-0_61"},{"key":"396_CR21","unstructured":"Li, W., Han, J., & Pei, J. (2001). CMAR: accurate and efficient classification based on multiple class-association rules. In Proceedings of IEEE international conference on data mining (ICDM01), San Jose, CA (pp. 369\u2013376). IEEE Computer Society."},{"key":"396_CR22","doi-asserted-by":"crossref","unstructured":"Manjusha, R., & Ramachandran, R. (2011). Web mining framework for security in e-commerce. In Proceedings of international conference on recent trends in information technology (ICRTIT), Chennai, India (pp. 1043\u20131048).","DOI":"10.1109\/ICRTIT.2011.5972310"},{"issue":"4","key":"396_CR23","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1016\/j.patcog.2007.08.014","volume":"41","author":"MH Masson","year":"2008","unstructured":"Masson, M.H., & Den\u0153ux, T. (2008). ECM: an evidential version of the fuzzy c-means algorithm. Pattern Recognition, 41(4), 1384\u20131397.","journal-title":"Pattern Recognition"},{"issue":"3","key":"396_CR24","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s10115-005-0226-5","volume":"9","author":"C Ordonez","year":"2006","unstructured":"Ordonez, C., Ezquerra, N., & Santana, C.A. (2006). Constraining and summarizing association rules in medical data. Knowledge and Information Systems, 9(3), 259\u2013283.","journal-title":"Knowledge and Information Systems"},{"key":"396_CR25","doi-asserted-by":"crossref","unstructured":"Ordonez, C., & Omiecinski, E. (1999). Discovering association rules based on image content. In Proceedings of the IEEE advances in digital libraries conference (ADL\u201999), Baltimore, MD (pp. 38\u201349).","DOI":"10.1109\/ADL.1999.777689"},{"key":"396_CR26","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0306-4379(99)00003-4","volume":"24","author":"N Pasquier","year":"1999","unstructured":"Pasquier, N., Bastide, Y., Taouil, R., & Lakhal, L. (1999). Efficient mining of association rules using closed itemset lattices. Journal of Information Systems, 24, 25\u201346.","journal-title":"Journal of Information Systems"},{"key":"396_CR27","unstructured":"Samet, A., Lefevre, E., & Ben Yahia, S. (2013). Mining frequent itemsets in evidential database. In Proceedings of the 5th international conference on knowledge and systems engeneering, Hanoi, Vietnam (pp. 377\u2013388)."},{"key":"396_CR28","doi-asserted-by":"crossref","unstructured":"Samet, A., Lef\u00e8vre, E., & Ben Yahia, S. (2014). Classification with evidential associative rules. In Proceedings of 15th international conference on information processing and management of uncertainty in knowledge-based systems, Montpellier, France (pp. 25\u201335).","DOI":"10.1007\/978-3-319-08795-5_4"},{"key":"396_CR29","doi-asserted-by":"crossref","unstructured":"Samet, A., Lefevre, E., & Ben Yahia, S. (2014). Evidential database: a new generalization of databases? In Proceedings of 3rd international conference on belief functions, belief 2014, Oxford, UK (pp. 105\u2013114).","DOI":"10.1007\/978-3-319-11191-9_12"},{"key":"396_CR30","first-page":"253","volume-title":"Non standard logics for automated reasoning","author":"P Smets","year":"1988","unstructured":"Smets, P. (1988). Belief functions. In P. Smets, A. Mamdani, D. Dubois, & H. Prade (Eds.), Non standard logics for automated reasoning (pp. 253\u2013286). London: Academic."},{"key":"396_CR31","first-page":"375","volume-title":"Proceedings of the 6th annual conference on uncertainty in artificial intelligence, UAI\u201990","author":"P Smets","year":"1990","unstructured":"Smets, P. (1990). The transferable belief model and other interpretations of Dempster-Shafer\u2019s model. In Proceedings of the 6th annual conference on uncertainty in artificial intelligence, UAI\u201990 (pp. 375\u2013383). Cambridge: MIT."},{"issue":"2","key":"396_CR32","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/0004-3702(94)90026-4","volume":"66","author":"P Smets","year":"1994","unstructured":"Smets, P., & Kennes, R. (1994). The transferable belief model. Artificial Intelligence, 66(2), 191\u2013234.","journal-title":"Artificial Intelligence"},{"key":"396_CR33","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/S0169-023X(02)00057-5","volume":"42","author":"G Stumme","year":"2002","unstructured":"Stumme, G., Taouil, R., Bastide, Y., Pasquier, N., & Lakhal, L. (2002). Computing iceberg concept lattices with titanic. Data & Knowledge Engineering, 42, 189\u2013222.","journal-title":"Data & Knowledge Engineering"},{"issue":"11","key":"396_CR34","first-page":"1650","volume":"5","author":"Y Tong","year":"2012","unstructured":"Tong, Y., Chen, L., Cheng, Y., & Yu, P.S. (2012). Mining frequent itemsets over uncertain databases. In Proceedings of the 38th International Conference on Very Large Databases, VLDB12, Istanbul, Turkey, 5(11), 1650\u20131661.","journal-title":"In Proceedings of the 38th International Conference on Very Large Databases, VLDB12, Istanbul, Turkey"},{"key":"396_CR35","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.is.2003.10.001","volume":"30","author":"X Wu","year":"2005","unstructured":"Wu, X., Zhang, C., & Zhang, S. (2005). Database classification for multi-database mining. Information Systems, 30, 71\u201388.","journal-title":"Information Systems"},{"key":"396_CR36","first-page":"013","volume":"12","author":"J Yin","year":"2006","unstructured":"Yin, J., Zhou, X., & Yang, M. (2006). Data mining in incomplete database. Computer Engineering, 12, 013.","journal-title":"Computer Engineering"}],"container-title":["Journal of Intelligent Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-016-0396-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10844-016-0396-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-016-0396-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T02:10:55Z","timestamp":1559268655000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10844-016-0396-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,20]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,8]]}},"alternative-id":["396"],"URL":"https:\/\/doi.org\/10.1007\/s10844-016-0396-5","relation":{},"ISSN":["0925-9902","1573-7675"],"issn-type":[{"value":"0925-9902","type":"print"},{"value":"1573-7675","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2,20]]}}}