{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:03:09Z","timestamp":1710266589038},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2010,11,19]],"date-time":"2010-11-19T00:00:00Z","timestamp":1290124800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2011,12]]},"DOI":"10.1007\/s00500-010-0664-1","type":"journal-article","created":{"date-parts":[[2010,11,17]],"date-time":"2010-11-17T23:12:05Z","timestamp":1290035525000},"page":"2319-2333","source":"Crossref","is-referenced-by-count":7,"title":["Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering"],"prefix":"10.1007","volume":"15","author":[{"given":"Chun-Hao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tzung-Pei","family":"Hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent S.","family":"Tseng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,11,19]]},"reference":[{"key":"664_CR1","unstructured":"Agrawal R, Srikant R (1994) Fast algorithm for mining association rules. In: The international conference on very large databases, pp 487\u2013499"},{"issue":"7","key":"664_CR2","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1016\/j.fss.2008.05.012","volume":"160","author":"J Alcala-Fdez","year":"2009","unstructured":"Alcala-Fdez J, Alcala R, Gacto M, Herrera F (2009) Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst 160(7):905\u2013921","journal-title":"Fuzzy Sets Syst"},{"key":"664_CR3","doi-asserted-by":"crossref","unstructured":"Ben-Dor A, Shamir R, Yakhini Z (1999) Clustering gene expression patterns. In: The annual international conference on computational molecular biology, pp 281\u2013297","DOI":"10.1145\/299432.299448"},{"issue":"3","key":"664_CR4","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s00500-008-0358-0","volume":"13","author":"J Casillas","year":"2009","unstructured":"Casillas J, Carse B (2009) Genetic fuzzy systems: recent developments and future directions. Soft Comput 13(3):417\u2013418","journal-title":"Soft Comput"},{"issue":"1","key":"664_CR5","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1109\/TFUZZ.2004.839670","volume":"13","author":"J Casillas","year":"2005","unstructured":"Casillas J, Cordon O, del Jesus MJ, Herrera F (2005) Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Trans Fuzzy Syst 13(1):13\u201329","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"664_CR6","unstructured":"Chan CC, Au WH (1997) Mining fuzzy association rules. In: The conference on information and knowledge management, Las Vegas, pp 209\u2013215"},{"key":"664_CR7","doi-asserted-by":"crossref","unstructured":"Chen J, Mikulcic A, Kraft DH (2000) An integrated approach to information retrieval with fuzzy clustering and fuzzy inferencing. In: Pons O, Vila MA, Kacprzyk J (eds) Knowledge management in fuzzy databases. Physica-Verlag, Heidelberg","DOI":"10.1007\/978-3-7908-1865-9_15"},{"issue":"1","key":"664_CR8","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1109\/TFUZZ.2007.903327","volume":"16","author":"CH Chen","year":"2008","unstructured":"Chen CH, Tseng VS, Hong TP (2008) Cluster-based evaluation in fuzzy-genetic data mining. IEEE Trans Fuzzy Syst 16(1):249\u2013262","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"664_CR9","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1007\/s00500-008-0366-0","volume":"13","author":"CH Chen","year":"2009","unstructured":"Chen CH, Hong TP, Tseng VS, Lee CS (2009) A genetic-fuzzy mining approach for items with multiple minimum supports. Soft Comput 13(5):521\u2013533","journal-title":"Soft Comput"},{"issue":"4","key":"664_CR10","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1109\/91.940977","volume":"9","author":"O Cord\u00f3n","year":"2001","unstructured":"Cord\u00f3n O, Herrera F, Villar P (2001) Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE Trans Fuzzy Syst 9(4):667\u2013674","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"664_CR11","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1080\/01969727308546046","volume":"3","author":"JC Dunn","year":"1973","unstructured":"Dunn JC (1973) \u201cA fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters\u201d. J Cybern 3:32\u201357","journal-title":"J Cybern"},{"key":"664_CR12","unstructured":"Ester M, Kriegel HP, Sander J, Xu X (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. In: The international conference on knowledge discovery and data mining, pp 226\u2013231"},{"key":"664_CR13","unstructured":"Fu A, Wong M, Sze S, Wong W, Wong W, Yu W (1998) Finding fuzzy sets for the mining of fuzzy association rules for numerical attributes. In: The international symposium on intelligent data engineering and learning, pp 263\u2013268"},{"issue":"3","key":"664_CR14","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s00500-008-0359-z","volume":"13","author":"MJ Gacto","year":"2009","unstructured":"Gacto MJ, Alcal\u00e1 R, Herrera F (2009) Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Comput 13(3):419\u2013436","journal-title":"Soft Comput"},{"issue":"1","key":"664_CR15","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/TITB.2005.855567","volume":"10","author":"PA Heng","year":"2006","unstructured":"Heng PA, Wong TT, Rong Y, Chui YP, Xie YM, Leung KS, Leung PC (2006) Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training. IEEE Trans Info Technol Biomed 10(1):28\u201341","journal-title":"IEEE Trans Info Technol Biomed"},{"issue":"1","key":"664_CR16","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/S0165-0114(96)00179-0","volume":"92","author":"F Herrera","year":"1997","unstructured":"Herrera F, Lozano M, Verdegay JL (1997) Fuzzy connectives based crossover operators to model genetic algorithms population diversity. Fuzzy Sets Syst 92(1):21\u201330","journal-title":"Fuzzy Sets Syst"},{"key":"664_CR17","unstructured":"Hong TP, Lee YC (2001) Mining coverage-based fuzzy rules by evolutional computation. In: The IEEE international conference on data mining, pp 218\u2013224"},{"key":"664_CR18","unstructured":"Hong TP, Kuo CS, Chi SC (1999) A data mining algorithm for transaction data with quantitative values. In: The eighth international fuzzy systems association world congress, pp 874-878"},{"issue":"5","key":"664_CR19","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1142\/S0218488501001071","volume":"9","author":"TP Hong","year":"2001","unstructured":"Hong TP, Kuo CS, Chi SC (2001) Trade-off between time complexity and number of rules for fuzzy mining from quantitative data. Int J Uncertain Fuzziness Knowl Based Syst 9(5):587\u2013604","journal-title":"Int J Uncertain Fuzziness Knowl Based Syst"},{"issue":"11","key":"664_CR20","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1007\/s00500-006-0046-x","volume":"10","author":"TP Hong","year":"2006","unstructured":"Hong TP, Chen CH, Wu YL, Lee YC (2006) A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions. Soft Comput 10(11):1091\u20131101","journal-title":"Soft Comput"},{"issue":"2","key":"664_CR21","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1109\/TEVC.2007.900992","volume":"12","author":"TP Hong","year":"2008","unstructured":"Hong TP, Chen CH, Lee YC, Wu YL (2008) Genetic-fuzzy data mining with divide-and-conquer strategy. IEEE Trans Evol Comput 12(2):252\u2013265","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"664_CR22","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1109\/TFUZZ.2004.841738","volume":"13","author":"H Ishibuchi","year":"2005","unstructured":"Ishibuchi H, Yamamoto T (2005) Rule weight specification in fuzzy rule-based classification systems. IEEE Trans Fuzzy Syst 13(4):428\u2013435","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"664_CR23","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1016\/j.fss.2004.09.014","volume":"152","author":"M Kaya","year":"2005","unstructured":"Kaya M, Alhajj R (2005) Genetic algorithm based framework for mining fuzzy association rules. Fuzzy Sets Syst 152(3):587\u2013601","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"664_CR24","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1145\/273244.273257","volume":"27","author":"C Kuok","year":"1998","unstructured":"Kuok C, Fu A, Wong M (1998) Mining fuzzy association rules in databases. SIGMOD Rec 27(1):41\u201346","journal-title":"SIGMOD Rec"},{"key":"664_CR25","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1007\/978-3-540-30133-2_171","volume":"3214","author":"YC Lee","year":"2004","unstructured":"Lee YC, Hong TP, Lin WY (2004) Mining fuzzy association rules with multiple minimum supports using maximum constraints. Lect Notes Comput Sci 3214:1283\u20131290","journal-title":"Lect Notes Comput Sci"},{"key":"664_CR26","doi-asserted-by":"crossref","first-page":"2617","DOI":"10.1109\/WCICA.2002.1019987","volume":"4","author":"H Liang","year":"2002","unstructured":"Liang H, Wu Z, Wu Q (2002) A fuzzy based supply chain management decision support system. World Congr Intell Control Autom 4:2617\u20132621","journal-title":"World Congr Intell Control Autom"},{"key":"664_CR27","doi-asserted-by":"crossref","unstructured":"Mangalampalli A, Pudi V (2009) Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets. In: The IEEE international conference on fuzzy systems, pp 1163\u20131168","DOI":"10.1109\/FUZZY.2009.5277060"},{"key":"664_CR28","unstructured":"McQueen JB (1967) Some methods of classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley symposium on mathematical statistics and probability, pp 281\u2013297"},{"key":"664_CR29","doi-asserted-by":"crossref","unstructured":"Mohamadlou H, Ghodsi R, Razmi J, Keramati A (2009) A method for mining association rules in quantitative and fuzzy data. In: The international conference on computers & industrial engineering, pp 453\u2013458","DOI":"10.1109\/ICCIE.2009.5223873"},{"key":"664_CR30","first-page":"128","volume":"3","author":"W Ouyang","year":"2009","unstructured":"Ouyang W, Huang Q (2009) Mining direct and indirect weighted fuzzy association rules in large transaction databases. Int Conf Fuzzy Syst Knowl Discov 3:128\u2013132","journal-title":"Int Conf Fuzzy Syst Knowl Discov"},{"key":"664_CR31","unstructured":"Parodi A, Bonelli P (1993) A new approach of fuzzy classifier systems. In: The fifth international conference on genetic algorithms. Morgan Kaufmann, Los Altos, CA, pp 223\u2013230"},{"key":"664_CR32","first-page":"1679","volume":"3","author":"KA Rasmani","year":"2004","unstructured":"Rasmani KA, Shen Q (2004) Modifying weighted fuzzy subsethood-based rule models with fuzzy quantifiers. IEEE Int Conf Fuzzy Syst 3:1679\u20131684","journal-title":"IEEE Int Conf Fuzzy Syst"},{"issue":"4","key":"664_CR33","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1109\/91.940965","volume":"9","author":"H Roubos","year":"2001","unstructured":"Roubos H, Setnes M (2001) Compact and transparent fuzzy models and classifiers through iterative complexity reduction. IEEE Trans Fuzzy Syst 9(4):516\u2013524","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"664_CR34","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1109\/91.873575","volume":"8","author":"M Setnes","year":"2000","unstructured":"Setnes M, Roubos H (2000) GA-fuzzy modeling and classification: complexity and performance. IEEE Trans Fuzzy Syst 8(5):509\u2013522","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"664_CR35","doi-asserted-by":"crossref","DOI":"10.1002\/0471698504","volume-title":"Fuzzy expert systems and fuzzy reasoning","author":"W Siler","year":"2004","unstructured":"Siler W, James J (2004) Fuzzy expert systems and fuzzy reasoning. Wiley, London"},{"issue":"4","key":"664_CR36","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1109\/4235.738978","volume":"2","author":"CH Wang","year":"1998","unstructured":"Wang CH, Hong TP, Tseng SS (1998) Integrating fuzzy knowledge by genetic algorithms. IEEE Trans Evol Comput 2(4):138\u2013149","journal-title":"IEEE Trans Evol Comput"},{"key":"664_CR37","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/S0165-0114(97)00385-0","volume":"112","author":"CH Wang","year":"2000","unstructured":"Wang CH, Hong TP, Tseng SS (2000) Integrating membership functions and fuzzy rule sets from multiple knowledge sources. Fuzzy Sets Syst 112:141\u2013154","journal-title":"Fuzzy Sets Syst"},{"key":"664_CR38","unstructured":"Yue S, Tsang E, Yeung D, Shi D (2000) Mining fuzzy association rules with weighted items. In: The IEEE international conference on systems, man and cybernetics, pp 1906\u20131911"},{"key":"664_CR39","volume-title":"Fuzzy modeling and fuzzy control","author":"H Zhang","year":"2006","unstructured":"Zhang H, Liu D (2006) Fuzzy modeling and fuzzy control. Springer, Berlin"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-010-0664-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-010-0664-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-010-0664-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,6]],"date-time":"2019-06-06T06:28:11Z","timestamp":1559802491000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-010-0664-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,11,19]]},"references-count":39,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2011,12]]}},"alternative-id":["664"],"URL":"https:\/\/doi.org\/10.1007\/s00500-010-0664-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,11,19]]}}}