{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T03:10:35Z","timestamp":1782875435387,"version":"3.54.5"},"reference-count":31,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2011,7,1]],"date-time":"2011-07-01T00:00:00Z","timestamp":1309478400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2011,7]]},"DOI":"10.1016\/j.knosys.2011.02.010","type":"journal-article","created":{"date-parts":[[2011,2,17]],"date-time":"2011-02-17T12:18:03Z","timestamp":1297945083000},"page":"697-708","source":"Crossref","is-referenced-by-count":32,"title":["Mining fuzzy specific rare itemsets for education data"],"prefix":"10.1016","volume":"24","author":[{"given":"Cheng-Hsiung","family":"Weng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.knosys.2011.02.010_b0005","doi-asserted-by":"crossref","unstructured":"M. Adda, L. Wu, Y. Feng, Rare itemset mining, in: Sixth International Conference on Machine Learning and Applications, 2007, pp. 73\u201380.","DOI":"10.1109\/ICMLA.2007.106"},{"key":"10.1016\/j.knosys.2011.02.010_b0160","doi-asserted-by":"crossref","unstructured":"R. Agrawal, T. Imielinski, A. Swami, Mining association rules between sets of items in large databases, in: Proceedings of ACM SIGMOD, 1993, pp. 207\u2013216.","DOI":"10.1145\/170036.170072"},{"key":"10.1016\/j.knosys.2011.02.010_b0015","unstructured":"R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proceedings of the 20th International Conference on Very Large Data Bases, 1994, pp. 487\u2013499."},{"issue":"2","key":"10.1016\/j.knosys.2011.02.010_b0020","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/S0165-0114(99)00065-2","article-title":"Determination of fuzzy logic membership functions using genetic algorithms","volume":"118","author":"Arslan","year":"2001","journal-title":"Fuzzy Sets and Systems"},{"key":"10.1016\/j.knosys.2011.02.010_b0025","series-title":"Data Mining Techniques: For Marketing, Sales, and Customer Support","author":"Berry","year":"1997"},{"issue":"1","key":"10.1016\/j.knosys.2011.02.010_b0030","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.eswa.2006.04.025","article-title":"Mining learner profile utilizing association rule for web-based learning diagnosis","volume":"33","author":"Chen","year":"2007","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"10.1016\/j.knosys.2011.02.010_b0035","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.fss.2007.10.005","article-title":"Mining association rules from imprecise ordinal data","volume":"159","author":"Chen","year":"2008","journal-title":"Fuzzy Sets and Systems"},{"issue":"1","key":"10.1016\/j.knosys.2011.02.010_b0040","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.knosys.2008.06.003","article-title":"Mining fuzzy association rules from questionnaire data","volume":"22","author":"Chen","year":"2009","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"10.1016\/j.knosys.2011.02.010_b0045","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1109\/TFUZZ.2003.809896","article-title":"Fuzzy association rules: general model and applications","volume":"11","author":"Delgado","year":"2003","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"10.1016\/j.knosys.2011.02.010_b0050","series-title":"Data Mining: Concepts and Techniques","author":"Han","year":"2001"},{"issue":"5","key":"10.1016\/j.knosys.2011.02.010_b0055","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/S1088-467X(99)00028-1","article-title":"Mining association rules from quantitative data","volume":"3","author":"Hong","year":"1999","journal-title":"Intelligent Data Analysis"},{"issue":"1","key":"10.1016\/j.knosys.2011.02.010_b0060","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.asoc.2004.03.009","article-title":"A fuzzy AprioriTid mining algorithm with reduced computational time","volume":"5","author":"Hong","year":"2004","journal-title":"Applied Soft Computing"},{"issue":"2","key":"10.1016\/j.knosys.2011.02.010_b0065","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/S0165-0114(02)00272-5","article-title":"Fuzzy data mining for interesting generalized association rules","volume":"138","author":"Hong","year":"2003","journal-title":"Fuzzy Sets and Systems"},{"issue":"1","key":"10.1016\/j.knosys.2011.02.010_b0070","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1016\/j.eswa.2006.10.004","article-title":"A personalized English learning recommender system for ESL students","volume":"34","author":"Hsu","year":"2008","journal-title":"Expert Systems with Applications"},{"issue":"7\u20138","key":"10.1016\/j.knosys.2011.02.010_b0075","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.engappai.2003.09.007","article-title":"Elicitation of classification rules by fuzzy data mining","volume":"16","author":"Hu","year":"2003","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"3","key":"10.1016\/j.knosys.2011.02.010_b0080","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/S0950-7051(02)00079-5","article-title":"Discovering fuzzy association rules using fuzzy partition methods","volume":"16","author":"Hu","year":"2003","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.knosys.2011.02.010_b0085","first-page":"229","article-title":"A computer-assisted approach to diagnosing student learning problems in science courses","volume":"19","author":"Hwang","year":"2003","journal-title":"Journal of Information Science and Engineering"},{"issue":"3\u20134","key":"10.1016\/j.knosys.2011.02.010_b0090","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.camwa.2005.03.009","article-title":"An efficient algorithm for finding dense regions for mining quantitative association rules","volume":"50","author":"Lian","year":"2005","journal-title":"Computers and Mathematics with Applications"},{"issue":"3","key":"10.1016\/j.knosys.2011.02.010_b0095","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.knosys.2010.01.006","article-title":"Processing online analytics with classification and association rule mining","volume":"23","author":"Lim","year":"2010","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.knosys.2011.02.010_b0165","unstructured":"P. Markellou, I. Mousourouli, S. Spiros, A. Tsakalidis, Using semantic web mining technologies for personalized e-learning experiences, in: Proceedings of the Web-Based Education, 2005, pp. 461\u2013826."},{"key":"10.1016\/j.knosys.2011.02.010_b0105","doi-asserted-by":"crossref","unstructured":"G. Masuda, N. Sakamoto, A framework for dynamic evidence based medicine using data mining, in: Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems, 2002, pp. 117\u2013122.","DOI":"10.1109\/CBMS.2002.1011364"},{"issue":"4","key":"10.1016\/j.knosys.2011.02.010_b0110","first-page":"319","article-title":"Mining student data captured from a web-based tutoring tool: initial exploration and results","volume":"15","author":"Merceron","year":"2004","journal-title":"Journal of Interactive Learning Research"},{"key":"10.1016\/j.knosys.2011.02.010_b0115","doi-asserted-by":"crossref","unstructured":"R.J. Miller, Y. Yang, Association rules over interval data, in: Proceedings of the 1997 ACM SIGMOD International Conference on Management of data SIGMOD, vol. 26, Issue 2, 1997, pp. 452\u2013461.","DOI":"10.1145\/253262.253361"},{"key":"10.1016\/j.knosys.2011.02.010_b0120","unstructured":"B. Minaei-Bidgoli, P. Tan, W. Punch, Mining interesting contrast rules for a web-based educational system, in: International Conference on Machine Learning Applications, 2004, pp. 1\u20138."},{"issue":"1","key":"10.1016\/j.knosys.2011.02.010_b0125","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.eswa.2006.04.005","article-title":"Educational data mining: a survey from 1995 to 2005","volume":"33","author":"Romero","year":"2007","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.knosys.2011.02.010_b0130","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.compedu.2007.05.016","article-title":"Data mining in course management systems: Moodle case study and tutorial","volume":"51","author":"Romero","year":"2008","journal-title":"Computers & Education"},{"key":"10.1016\/j.knosys.2011.02.010_b0135","doi-asserted-by":"crossref","unstructured":"R. Srikant, Q. Vu, R. Agrawal, Mining association rules with item constraints, in: SIGMOD International Conference on Management of Data, 1996, pp. 1\u201312.","DOI":"10.1145\/235968.233311"},{"key":"10.1016\/j.knosys.2011.02.010_b0140","doi-asserted-by":"crossref","unstructured":"L. Szathmary, A. Napoli, P. Valtchev, Towards rare itemset mining, in: 19th IEEE International Conference on Tools with Artificial Intelligence, 2007, pp. 205\u2013312.","DOI":"10.1109\/ICTAI.2007.30"},{"key":"10.1016\/j.knosys.2011.02.010_b0170","series-title":"Introduction to Data Mining","author":"Tan","year":"2006"},{"issue":"3","key":"10.1016\/j.knosys.2011.02.010_b0150","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/j.compedu.2005.11.020","article-title":"A new approach for constructing the concept map","volume":"49","author":"Tseng","year":"2007","journal-title":"Computers & Education"},{"key":"10.1016\/j.knosys.2011.02.010_b0175","unstructured":"P. Yu, C. Own, L. Lin, On learning behavior analysis of web based interactive environment, in: Proceedings of the Implementing Curricular Change in Engineering Education, 2001, pp. 1\u201310."}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0950705111000372?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0950705111000372?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T18:38:55Z","timestamp":1740940735000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S0950705111000372"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,7]]},"references-count":31,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2011,7]]}},"alternative-id":["S0950705111000372"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.knosys.2011.02.010","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2011,7]]}}}