{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T10:40:02Z","timestamp":1746096002828,"version":"3.40.4"},"publisher-location":"Berlin, Heidelberg","reference-count":45,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642537363"},{"type":"electronic","value":"9783642537370"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-642-53737-0_13","type":"book-chapter","created":{"date-parts":[[2013,12,30]],"date-time":"2013-12-30T12:37:28Z","timestamp":1388407048000},"page":"187-196","source":"Crossref","is-referenced-by-count":7,"title":["Knowledge Discovery by Fuzzy Predicates"],"prefix":"10.1007","author":[{"given":"Taymi Ceruto","family":"Cordov\u00e9s","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandro Rosete","family":"Su\u00e1rez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael Alejandro Esp\u00edn","family":"Andrade","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"7","key":"13_CR1","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1016\/j.fss.2008.05.012","volume":"160","author":"J. Alcal\u00e1-Fdez","year":"2009","unstructured":"Alcal\u00e1-Fdez, J., Alcal\u00e1, R., Gacto, M.J., et al.: Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets and Systems\u00a0160(7), 905\u2013921 (2009)","journal-title":"Fuzzy Sets and Systems"},{"key":"13_CR2","series-title":"GRIAL","volume-title":"Biblioteca de clases para la integraci\u00f3n de algorit-mos metaheur\u00edsticos","author":"A. Alvarez","year":"2009","unstructured":"Alvarez, A., Gonzalez, Y.: Biblioteca de clases para la integraci\u00f3n de algorit-mos metaheur\u00edsticos, Alvarez&Gonzalez. GRIAL. CUJAE, Pregrado (2009)"},{"key":"13_CR3","unstructured":"Berry, M., Linoff, G.: Data Mining Techniques John Wiley & Sons (2004)"},{"issue":"3","key":"13_CR4","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1145\/937503.937505","volume":"35","author":"C. Blum","year":"2003","unstructured":"Blum, C., Roli, A.: Metaheuristics in Combinatorial Optimization: Overview and Conceptual Comparison. ACM Computing Surveys\u00a035(3), 268\u2013308 (2003)","journal-title":"ACM Computing Surveys"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Bruno, A.: Normal forms. Mathematics and Computers in Simulation\u00a045 (1998)","DOI":"10.1016\/S0378-4754(97)00120-1"},{"key":"13_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1007\/978-3-642-02478-8_30","volume-title":"Bio-Inspired Systems: Computational and Ambient Intelligence","author":"I.P. Cabrera","year":"2009","unstructured":"Cabrera, I.P., Cordero, P., Ojeda-Aciego, M.: Fuzzy Logic, Soft Computing, and Applications. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds.) IWANN 2009, Part I. LNCS, vol.\u00a05517, pp. 236\u2013244. Springer, Heidelberg (2009)"},{"key":"13_CR7","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1145\/266714.266898","volume-title":"Proceedings of the Sixth International Conference on Information and Knowledge Management","author":"K.C.C. Chan","year":"1997","unstructured":"Chan, K.C.C., Au, W.-H.: Mining fuzzy association rules. In: Chan, Au (eds.) Proceedings of the Sixth International Conference on Information and Knowledge Management, pp. 209\u2013215. ACM, Las Vegas (1997)"},{"key":"13_CR8","unstructured":"De Cock, M., Cornelis, C., Kerre, E.E.: Fuzzy Association Rules: A Two-Sided Approach FIP (International Conference on Fuzzy Information processing: Theories and Applications), 385\u2013390. DeCock&et (2003)"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Delgado, M., Mar\u00edn, N., S\u00e1nchez, D., et al.: Fuzzy Association Rules: General Model and Applications. IEEE Transactions on Fuzzy Systems\u00a011(2) (2003)","DOI":"10.1109\/TFUZZ.2003.809896"},{"key":"13_CR10","series-title":"STUDFUZZ","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/3-540-32365-1_15","volume-title":"Soft Computing for Information Processing and Analysis","author":"M. Delgado","year":"2005","unstructured":"Delgado, M., Man\u00edn, N., Mart\u00edn-Bautista, M., et al.: Mining Fuzzy Association Rules: An Overview. In: Nikravesh, M., Zadeh, L.A., Kacprzyk, J. (eds.) Soft Computing for Information Processing and Analysis. STUDFUZZ, vol.\u00a0164, pp. 351\u2013373. Springer, Heidelberg (2005)"},{"key":"13_CR11","volume-title":"Fourth International ICSC Symposium on Engineering of Intelligent Systems (EIS 2004)","author":"R. Esp\u00edn","year":"2004","unstructured":"Esp\u00edn, R., Marx, J.C., Mazcorro, G., et al.: Compensatory Logic: A Fuzzy Approach to Decision Making. In: Fourth International ICSC Symposium on Engineering of Intelligent Systems (EIS 2004), Esp\u00edn&et, Island of Madeira (2004)"},{"key":"13_CR12","unstructured":"Esp\u00edn, R.A., Fern\u00e1ndez, E.: Compensatory Fuzzy Logic: A Frame for Reasoning and Modeling Preference Knowledge in Multicriteria Decision- Making. Information Sciences (2010)"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: The KDD Process for Extracting Useful Knowledge from Volumes of Data. Communications of the ACM\u00a039(11) (1996)","DOI":"10.1145\/240455.240464"},{"key":"13_CR14","unstructured":"Garrelli, J.M.: Pittsburgh Genetic-Based Machine Learning in the Data Mining: Representations, generalization, and run-time. Computer Science Department. Garrelli, Barcelona, Universitat Ramon Llull. Doctor: 352 (2004)"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Gehrke, M., Walker, C., Walker, E.: Some comments on fuzzy normal forms. FUZZ IEEE\u00a02 (2000)","DOI":"10.1109\/FUZZY.2000.839060"},{"issue":"1","key":"13_CR16","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/S0165-0114(02)00566-3","volume":"138","author":"M. Gehrke","year":"2003","unstructured":"Gehrke, M., Walker, C.L., Walker, E.A.: Normal forms and truth tables for fuzzy logics. Fuzzy Sets Syst.\u00a0138(1), 25\u201351 (2003)","journal-title":"Fuzzy Sets Syst."},{"key":"13_CR17","first-page":"29","volume":"19","author":"F. Glover","year":"2003","unstructured":"Glover, F., Meli\u00e1n, B.: Tabu Search. Revista Iberoamericana de Inteligencia Artificial\u00a019, 29\u201348 (2003)","journal-title":"Revista Iberoamericana de Inteligencia Artificial"},{"key":"13_CR18","volume-title":"A Fuzzy Approach for Mining Quantitative Association Rules","author":"A. Gyenesei","year":"2000","unstructured":"Gyenesei, A.: A Fuzzy Approach for Mining Quantitative Association Rules. Gyenesei, Turku Centre for Computer Science (2000)"},{"key":"13_CR19","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann (2006)"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Herrera, F., Carmona, C.J., Gonz\u00e1lez, P., et al.: An overview on Subgroup Discovery: Foundations and Applications. Knowledge and Information Systems (2010)","DOI":"10.1007\/s10115-010-0356-2"},{"issue":"5","key":"13_CR21","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1016\/S1088-467X(99)00028-1","volume":"3","author":"T.-P. Hong","year":"1999","unstructured":"Hong, T.-P., Kuo, C.-S., Chi, S.-C.: Mining association rules from quantitative data. Intelligent Data Analysis\u00a03(5), 363\u2013376 (1999)","journal-title":"Intelligent Data Analysis"},{"key":"13_CR22","series-title":"STUDFUZZ","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/978-3-540-73723-0_20","volume-title":"Fuzzy Sets and Their Extensions: Representation, Aggregation and Models","author":"T.-P. Hong","year":"2008","unstructured":"Hong, T.-P., Lee, Y.-C.: An Overview of Mining Fuzzy Association Rules. In: Bustince, H., Herrera, F., Montero, J. (eds.) Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. STUDFUZZ, vol.\u00a0220, pp. 397\u2013410. Springer, Heidelberg (2008)"},{"key":"13_CR23","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/0165-0114(95)00026-H","volume":"76","author":"A. Kandel","year":"1995","unstructured":"Kandel, A., Zhang, Y.-Q., Miller, T.: Knowledge representation by conjunctive normal forms and disjunctive normal forms based on n-variable-m-dimensional fundamental clauses and phrases. Fuzzy Sets and Systems\u00a076, 73 (1995)","journal-title":"Fuzzy Sets and Systems"},{"key":"13_CR24","volume-title":"Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain","author":"A. Konar","year":"2000","unstructured":"Konar, A.: Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain. CRC Press, Boca Raton (2000)"},{"key":"13_CR25","volume-title":"Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems","author":"J.R. Koza","year":"1990","unstructured":"Koza, J.R.: Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems. Koza, Universidad de Stanford (1990)"},{"issue":"1","key":"13_CR26","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1145\/273244.273257","volume":"27","author":"C.M. Kuok","year":"1998","unstructured":"Kuok, C.M., Fu, A., Wong, M.H.: Mining fuzzy association rules in databases. SIGMOD Rec.\u00a027(1), 41\u201346 (1998)","journal-title":"SIGMOD Rec."},{"key":"13_CR27","first-page":"264","volume-title":"Proc. of the Conf. Mata","author":"J. Mata","year":"2001","unstructured":"Mata, J., Alvarez, J.L., Riquelme, J.C.: Mining numeric association rules with genetic algorithms. In: Proc. of the Conf. Mata, pp. 264\u2013267. ICANNGA, Praga (2001)"},{"key":"13_CR28","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/3-540-47887-6_5","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"J. Mata","year":"2002","unstructured":"Mata, J., Alvarez, J.-L., Riquelme, J.-C.: Discovering Numeric Association Rules via Evolutionary Algorithm. In: Chen, M.-S., Yu, P.S., Liu, B. (eds.) PAKDD 2002. LNCS (LNAI), vol.\u00a02336, pp. 40\u201351. Springer, Heidelberg (2002)"},{"issue":"19","key":"13_CR29","first-page":"7","volume":"2","author":"B. Meli\u00e1n","year":"2003","unstructured":"Meli\u00e1n, B., Moreno P\u00e9rez, J.A., Moreno Vega, J.M.: Metaheur\u00edsticas: una vi-si\u00f3n global. Revista Iberoamericana de Inteligencia Artificial\u00a02(19), 7\u201328 (2003)","journal-title":"Revista Iberoamericana de Inteligencia Artificial"},{"key":"13_CR30","unstructured":"Mesbah, S., Toony, A.A.: Applications of Genetic Programming in Data Mining. World Academy of Science, Engineering and Technology (17) (2006)"},{"key":"13_CR31","doi-asserted-by":"crossref","unstructured":"Mizumoto, M.: Fuzzy Sets and their Operations II. Information and Control\u00a050(2) (1981a)","DOI":"10.1016\/S0019-9958(81)90191-1"},{"key":"13_CR32","doi-asserted-by":"crossref","unstructured":"Mizumoto, M.: Fuzzy Sets and their Operations I. Information and Control\u00a048(1) (1981b)","DOI":"10.1016\/S0019-9958(81)90578-7"},{"key":"13_CR33","doi-asserted-by":"crossref","unstructured":"Mizumoto, M.: Pictorial representations of fuzzy connectives, part I: cases of t-norms, t-conorms and averaging operators. Fuzzy Sets and Systems\u00a031 (1989a)","DOI":"10.1016\/0165-0114(89)90005-5"},{"key":"13_CR34","doi-asserted-by":"crossref","unstructured":"Mizumoto, M.: Pictorial representations of fuzzy connectives, part II: cases of compensatory operators and self-dual operators. Fuzzy Sets and Systems\u00a032 (1989b)","DOI":"10.1016\/0165-0114(89)90087-0"},{"issue":"suppl. 1","key":"13_CR35","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/0743-1066(94)90035-3","volume":"19","author":"S. Muggleton","year":"1994","unstructured":"Muggleton, S., De Raedt, L.: Inductive Logic Programming: Theory and methods. The Journal of Logic Programming\u00a019(suppl. 1), 629\u2013679 (1994)","journal-title":"The Journal of Logic Programming"},{"key":"13_CR36","doi-asserted-by":"crossref","unstructured":"Papadrakakis, M., Lagaros, N.D.: Soft computing methodologies for structural optimization. Applied Soft Computing\u00a03 (2003)","DOI":"10.1016\/S1568-4946(03)00040-1"},{"key":"13_CR37","unstructured":"Paredes, D., Fajardo, J.: Biblioteca de clases para la unficaci\u00f3n de algoritmos metaheuristicos basados en un punto. GRIAL, CEIS, Paredes&Fajardo, Ciudad Habana, Instituto Superior Polit\u00e9cnico \u201cJos\u00e9 Antonio Echeverr\u00eda\u201d. Pregrado (2008)"},{"key":"13_CR38","doi-asserted-by":"crossref","unstructured":"Talbi, E.-G.: Metaheuristics: from design to implementation, John Wiley & Sons, Inc. (2009)","DOI":"10.1002\/9780470496916"},{"key":"13_CR39","volume-title":"Soft Computing for Data Mining Applications","author":"K.R. Venugopal","year":"2009","unstructured":"Venugopal, K.R., Srinivasa, K.G., Patnaik, L.M.: Soft Computing for Data Mining Applications. Springer, Heidelberg (2009)"},{"issue":"7","key":"13_CR40","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1016\/j.fss.2007.08.014","volume":"159","author":"J.L. Verdegay","year":"2008","unstructured":"Verdegay, J.L., Yager, R.R., Bonissone, P.P.: On heuristics as a fundamental constituent of soft computing. Fuzzy Sets and Systems\u00a0159(7), 846\u2013855 (2008)","journal-title":"Fuzzy Sets and Systems"},{"key":"13_CR41","unstructured":"Wang, L., Fu, X.: Data Mining with Computational Intelligence. Springer (1998)"},{"key":"13_CR42","unstructured":"Witten, I.H., Frank, E.: Data Mining Practical Machine Learning Tools and Techniques. Morgan Kaufmann (2005)"},{"issue":"1","key":"13_CR43","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"D. Wolpert","year":"1997","unstructured":"Wolpert, D., Macready, W.: No Free Lunch Theorems for Optimization. IEEE Transactions on Evolutionary Computation\u00a01(1), 67\u201382 (1997)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"13_CR44","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L.A. Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy Sets. Information and Control\u00a08, 338\u2013353 (1965)","journal-title":"Information and Control"},{"issue":"6","key":"13_CR45","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/52.329401","volume":"11","author":"L.A. Zadeh","year":"1994","unstructured":"Zadeh, L.A.: Soft Computing and Fuzzy Logic. IEEE Software\u00a011(6), 48\u201356 (1994)","journal-title":"IEEE Software"}],"container-title":["Studies in Computational Intelligence","Soft Computing for Business Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-53737-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T10:16:18Z","timestamp":1746094578000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-53737-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783642537363","9783642537370"],"references-count":45,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-53737-0_13","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2014]]}}}