{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T21:07:45Z","timestamp":1725570465481},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642175077"},{"type":"electronic","value":"9783642175084"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-17508-4_2","type":"book-chapter","created":{"date-parts":[[2010,11,26]],"date-time":"2010-11-26T05:37:49Z","timestamp":1290749869000},"page":"21-37","source":"Crossref","is-referenced-by-count":4,"title":["Evolution of Interesting Association Rules Online with Learning Classifier Systems"],"prefix":"10.1007","author":[{"given":"Albert","family":"Orriols-Puig","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"Casillas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"volume-title":"Data streams: Models and algorithms","year":"2007","unstructured":"Aggarwal, C. (ed.): Data streams: Models and algorithms. Springer, Heidelberg (2007)","key":"2_CR1"},{"doi-asserted-by":"crossref","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, Washington D.C, pp. 207\u2013216 (May 1993)","key":"2_CR2","DOI":"10.1145\/170035.170072"},{"unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Bocca, J.B., Jarke, M., Zaniolo, C. (eds.) Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, Santiago, Chile, pp. 487\u2013499 (September 1994)","key":"2_CR3"},{"unstructured":"Asuncion, A., Newman, D.J.: UCI Machine Learning Repository, University of California (2007), \n                    \n                      http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html","key":"2_CR4"},{"key":"2_CR5","first-page":"1421","volume-title":"GECCO 2008: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation","author":"J. Bacardit","year":"2008","unstructured":"Bacardit, J., Krasnogor, N.: Fast rule representation for continuous attributes in genetics-based machine learning. In: GECCO 2008: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, pp. 1421\u20131422. ACM, New York (2008)"},{"issue":"3","key":"2_CR6","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1162\/106365603322365289","volume":"11","author":"E. Bernad\u00f3-Mansilla","year":"2003","unstructured":"Bernad\u00f3-Mansilla, E., Garrell, J.M.: Accuracy-based learning classifier systems: Models, analysis and applications to classification tasks. Evolutionary Computation\u00a011(3), 209\u2013238 (2003)","journal-title":"Evolutionary Computation"},{"key":"2_CR7","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/3-540-48104-4_8","volume-title":"Advances in Learning Classifier Systems","author":"E. Bernad\u00f3","year":"2002","unstructured":"Bernad\u00f3-Mansilla, E., Llor\u00e0, X., Garrell, J.M.: XCS and GALE: A comparative study of two learning classifier systems on data mining. In: Lanzi, P.L., Stolzmann, W., Wilson, S.W. (eds.) IWLCS 2001. LNCS (LNAI), vol.\u00a02321, pp. 115\u2013132. Springer, Heidelberg (2002)"},{"doi-asserted-by":"crossref","unstructured":"Cai, C.H., Fu, A.W.-C., Cheng, C.H., Kwong, W.W.: Mining association rules with weighted items. In: International Database Engineering and Application Symposium, pp. 68\u201377 (1998)","key":"2_CR8","DOI":"10.1109\/IDEAS.1998.694360"},{"unstructured":"Divina, F.: Hybrid Genetic Relational Search for Inductive Learning. PhD thesis, Department of Computer Science, Vrije Universiteit, Amsterdam, the Netherlands (2004)","key":"2_CR9"},{"key":"2_CR10","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1145\/237661.237708","volume-title":"PODS 1996: Proceedings of the Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems","author":"T. Fukuda","year":"1996","unstructured":"Fukuda, T., Morimoto, Y., Morishita, S., Tokuyama, T.: Mining optimized association rules for numeric attributes. In: PODS 1996: Proceedings of the Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pp. 182\u2013191. ACM, New York (1996)"},{"key":"2_CR11","volume-title":"Genetic algorithms in search, optimization & machine learning","author":"D.E. Goldberg","year":"1989","unstructured":"Goldberg, D.E.: Genetic algorithms in search, optimization & machine learning, 1st edn. Addison-Wesley, Reading (1989)","edition":"1"},{"unstructured":"Holland, J.H.: Adaptation in natural and artificial systems. The University of Michigan Press (1975)","key":"2_CR12"},{"issue":"5","key":"2_CR13","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1142\/S0218488501001071","volume":"9","author":"T.P. Hong","year":"2001","unstructured":"Hong, T.P., Kuo, C.S., Chi, S.C.: Trade-off between computation time and number of rules for fuzzy mining from quantitative data. International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems\u00a09(5), 587\u2013604 (2001)","journal-title":"International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems"},{"unstructured":"Houtsma, M., Swami, A.: Set-oriented mining of association rules. Technical Report RJ 9567, Almaden Research Center, San Jose, California (October 1993)","key":"2_CR14"},{"issue":"3","key":"2_CR15","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1016\/j.fss.2004.09.014","volume":"152","author":"M. Kaya","year":"2005","unstructured":"Kaya, M., Alhajj, R.: Genetic algorithm based framework for mining fuzzy association rules. Fuzzy Sets and Systems\u00a0152(3), 587\u2013601 (2005)","journal-title":"Fuzzy Sets and Systems"},{"doi-asserted-by":"crossref","unstructured":"Lent, B., Swami, A.N., Widom, J.: Clustering association rules. In: Procedings of the IEEE International Conference on Data Engineering, pp. 220\u2013231 (1997)","key":"2_CR16","DOI":"10.1109\/ICDE.1997.581756"},{"doi-asserted-by":"crossref","unstructured":"Mata, J., Alvarez, J.L., Riquelme, J.C.: An evolutionary algorithm to discover numeric association rules. In: SAC 2002: Proceedings of the 2002 ACM Symposium on Applied Computing, pp. 590\u2013594. ACM, New York (2002)","key":"2_CR17","DOI":"10.1145\/508791.508905"},{"key":"2_CR18","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1145\/253260.253361","volume-title":"SIGMOD 1997: Proceedings of the 1997 ACM SIGMOD International Conference on Management of data","author":"R.J. Miller","year":"1997","unstructured":"Miller, R.J., Yang, Y.: Association rules over interval data. In: SIGMOD 1997: Proceedings of the 1997 ACM SIGMOD International Conference on Management of data, pp. 452\u2013461. ACM, New York (1997)"},{"key":"2_CR19","first-page":"2595","volume":"8","author":"M. N\u00fa\u00f1ez","year":"2007","unstructured":"N\u00fa\u00f1ez, M., Fidalgo, R., Morales, R.: Learning in environments with unknown dynamics: Towards more robust concept learners. Journal of Machine Learning Research\u00a08, 2595\u20132628 (2007)","journal-title":"Journal of Machine Learning Research"},{"unstructured":"Salleb-Aouissi, A., Vrain, C., Nortet, C.: Quantminer: A genetic algorithm for mining quantitative association rules. In: Veloso, M.M. (ed.) Proceedings of the 2007 International Join Conference on Artificial Intelligence, pp. 1035\u20131040 (2007)","key":"2_CR20"},{"unstructured":"Savasere, A., Omiecinski, E., Navathe, S.: An efficient algorithm for mining association rules in large databases. In: Proceedings of the 21st VLDB Conference, Zurich, Switzerland, pp. 432\u2013443 (1995)","key":"2_CR21"},{"doi-asserted-by":"crossref","unstructured":"Srikant, R., Agrawal, R.: Mining quantitative association rules in large relational tables. In: Jagadish, H.V., Mumick, I.S. (eds.) Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, Montreal, Quebec, Canada, pp. 1\u201312 (1996)","key":"2_CR22","DOI":"10.1145\/233269.233311"},{"key":"2_CR23","first-page":"233","volume":"23","author":"C.-Y. Wang","year":"2007","unstructured":"Wang, C.-Y., Tseng, S.-S., Hong, T.-P., Chu, Y.-S.: Online generation of association rules under multidimensional consideration based on negative border. Journal of Information Science and Engineering\u00a023, 233\u2013242 (2007)","journal-title":"Journal of Information Science and Engineering"},{"key":"2_CR24","first-page":"121","volume-title":"Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD","author":"K. Wang","year":"1998","unstructured":"Wang, K., Tay, S.H.W., Liu, B.: Interestingness-based interval merger for numeric association rules. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD, pp. 121\u2013128. AAAI Press, Menlo Park (1998)"},{"issue":"2","key":"2_CR25","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1162\/evco.1995.3.2.149","volume":"3","author":"S.W. Wilson","year":"1995","unstructured":"Wilson, S.W.: Classifier fitness based on accuracy. Evolutionary Computation\u00a03(2), 149\u2013175 (1995)","journal-title":"Evolutionary Computation"},{"key":"2_CR26","first-page":"665","volume-title":"3rd Annual Conf. on Genetic Programming","author":"S.W. Wilson","year":"1998","unstructured":"Wilson, S.W.: Generalization in the XCS classifier system. In: 3rd Annual Conf. on Genetic Programming, pp. 665\u2013674. Morgan Kaufmann, San Francisco (1998)"},{"key":"2_CR27","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/3-540-45027-0_11","volume-title":"Learning Classifier Systems","author":"S.W. Wilson","year":"2000","unstructured":"Wilson, S.W.: Get real! XCS with continuous-valued inputs. In: Lanzi, P.L., Stolzmann, W., Wilson, S.W. (eds.) IWLCS 1999. LNCS (LNAI), vol.\u00a01813, pp. 209\u2013219. Springer, Heidelberg (2000)"}],"container-title":["Lecture Notes in Computer Science","Learning Classifier Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17508-4_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T12:24:57Z","timestamp":1553257497000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17508-4_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642175077","9783642175084"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17508-4_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}