{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,10]],"date-time":"2025-05-10T02:48:25Z","timestamp":1746845305965,"version":"3.37.3"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2010,7,31]],"date-time":"2010-07-31T00:00:00Z","timestamp":1280534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2012,4]]},"DOI":"10.1007\/s10916-010-9562-4","type":"journal-article","created":{"date-parts":[[2010,7,31]],"date-time":"2010-07-31T20:20:10Z","timestamp":1280607610000},"page":"979-994","source":"Crossref","is-referenced-by-count":15,"title":["Knowledge Extraction Algorithm for Variances Handling of CP Using Integrated Hybrid Genetic Double Multi-group Cooperative PSO and DPSO"],"prefix":"10.1007","volume":"36","author":[{"given":"Gang","family":"Du","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhibin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodi","family":"Diao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,7,31]]},"reference":[{"key":"9562_CR1","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.entcs.2008.12.076","volume":"225","author":"K Matsumoto","year":"2009","unstructured":"Matsumoto, K., Tanioka, T., Osaka, K., et al., Developing the method of server controlled outcomes management and variance analysis [J]. Electron. Notes Theor. Comput. Sci. 225:221\u2013237, 2009.","journal-title":"Electron. Notes Theor. Comput. Sci."},{"key":"9562_CR2","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.cmpb.2006.03.001","volume":"82","author":"S Wakamiya","year":"2006","unstructured":"Wakamiya, S., and Yamauchi, K., A new approach to systematization of the management of paper-based clinical pathways. Comput. Meth. Programs Biomed. 82:169\u2013176, 2006.","journal-title":"Comput. Meth. Programs Biomed."},{"key":"9562_CR3","doi-asserted-by":"crossref","unstructured":"Du, G., Jiang, Z. B., Diao, X. D., Ye, Y., and Yao Y., Modeling, variation monitoring, analyzing, reasoning for intelligently reconfigurable clinical pathway. Proceedings of the IEEE International Conference on Service Operations, Logistics and Informatics, pp. 85\u201390, Chicago, IL, USA, 2009.","DOI":"10.1109\/SOLI.2009.5203909"},{"key":"9562_CR4","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1109\/69.250074","volume":"5","author":"R Agrawal","year":"1993","unstructured":"Agrawal, R., Imielinski, T., and Swami, A., Database mining: A performance perspective. IEEE Trans. Knowl. Data Eng. 5:914\u2013925, 1993.","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"9562_CR5","volume-title":"Data mining techniques","author":"MJA Berry","year":"1997","unstructured":"Berry, M. J. A., and Linoff, G. S., Data mining techniques. Wiley, New York, 1997."},{"key":"9562_CR6","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/S0167-9236(03)00008-3","volume":"37","author":"YS Kim","year":"2004","unstructured":"Kim, Y. S., and Street, W. N., An intelligent system for customer targeting: A data mining approach. Decis. Support Syst. 37:215\u2013228, 2004.","journal-title":"Decis. Support Syst."},{"issue":"4","key":"9562_CR7","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1002\/(SICI)1522-7138(199723)11:4<42::AID-DIR7>3.0.CO;2-W","volume":"11","author":"D Haughton","year":"1997","unstructured":"Haughton, D., and Oulabi, S., Direct marketing modeling with CART and CHAID. J. Direct Mark. 11(4):42\u201352, 1997.","journal-title":"J. Direct Mark."},{"key":"9562_CR8","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/S0167-9236(02)00108-2","volume":"35","author":"K-W Cheung","year":"2003","unstructured":"Cheung, K.-W., Kwok, J. T., Law, M. H., and Tsui, K. C., Mining customer product rating for personalized marketing. Decis. Support Syst. 35:231\u2013243, 2003.","journal-title":"Decis. Support Syst."},{"key":"9562_CR9","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1016\/j.eswa.2005.07.030","volume":"30","author":"YS Kim","year":"2006","unstructured":"Kim, Y. S., Street, W. N., and Menczer, F., Optimal ensemble construction via meta-evolutionary ensembles. Expert Syst. Appl. 30:705\u2013714, 2006.","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"9562_CR10","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1016\/j.eswa.2005.09.038","volume":"31","author":"YC Tsai","year":"2006","unstructured":"Tsai, Y. C., Cheng, C. H., and Chang, J. R., Entropy-based fuzzy rough classification approach for extracting classification rules. Expert Syst. Appl. 31(2):436\u2013443, 2006.","journal-title":"Expert Syst. Appl."},{"key":"9562_CR11","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.eswa.2003.12.013","volume":"27","author":"S-M Chou","year":"2004","unstructured":"Chou, S.-M., Lee, T.-S., Shao, Y. E., and Chen, I.-F., Mining the breast cancer pattern using artificial neural networks and multivariate adaptive regression splines. Expert Syst. Appl. 27:133\u2013142, 2004.","journal-title":"Expert Syst. Appl."},{"key":"9562_CR12","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/0950-7051(96)81920-4","volume":"8","author":"R Andrews","year":"1995","unstructured":"Andrews, R., Diederich, J., and Tickle, A. B., Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowl.-Based Syst. 8:373\u2013389, 1995.","journal-title":"Knowl.-Based Syst."},{"key":"9562_CR13","unstructured":"Fu, L., Rule learning by searching on adapted nets. In: Proceedings of the 9th National Conference on Artificial Intelligence, Anaheim, CA, pp. 590\u2013595, 1991."},{"key":"9562_CR14","first-page":"71","volume":"13","author":"G Towell","year":"1993","unstructured":"Towell, G., and Shavlik, J. W., The extraction of refined rules from knowledge-based neural networks. Mach. Learn. 13:71\u2013101, 1993.","journal-title":"Mach. Learn."},{"key":"9562_CR15","doi-asserted-by":"crossref","unstructured":"Freitas, A. A., Data mining and knowledge discovery with evolutionary algorithms. 1 edition. Publisher: Springer, 2002.","DOI":"10.1007\/978-3-662-04923-5_1"},{"key":"9562_CR16","doi-asserted-by":"crossref","first-page":"11543","DOI":"10.1016\/j.eswa.2009.03.029","volume":"36","author":"S-W Lin","year":"2009","unstructured":"Lin, S.-W., Shiue, Y.-R., Chen, S.-C., and Cheng, H.-M., Applying enhanced data mining approaches in predicting bank performance: A case of Taiwanese commercial banks. Expert Syst. Appl. 36:11543\u201311551, 2009.","journal-title":"Expert Syst. Appl."},{"key":"9562_CR17","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.eswa.2005.09.024","volume":"31","author":"CL Huang","year":"2006","unstructured":"Huang, C. L., and Wang, C. J., A GA-based feature selection and parameters optimization for support vector machines. Expert Syst. Appl. 31:231\u2013240, 2006.","journal-title":"Expert Syst. Appl."},{"key":"9562_CR18","doi-asserted-by":"crossref","unstructured":"Kennedy, J., and Eberhart, R. C., Particle swarm optimization. [C]\/\/IEEE International Conference on Neural Networks. Piscataway, 1942\u20131948, 1995.","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"5\u20136","key":"9562_CR19","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1016\/j.parco.2003.12.015","volume":"30","author":"T Sousa","year":"2004","unstructured":"Sousa, T., Silva, A., and Neves, A., Particle swarm based data mining algorithms for classification tasks. Parallel Comput. 30(5\u20136):767\u2013783, 2004.","journal-title":"Parallel Comput."},{"key":"9562_CR20","first-page":"101","volume":"3","author":"Y Shi","year":"1999","unstructured":"Shi, Y., and Eberhart, R. C., Empirical study of particle swarm Optimization. Proc. IEEE Int. Conf. Evol. Comput. 3:101\u2013106, 1999.","journal-title":"Proc. IEEE Int. Conf. Evol. Comput."},{"issue":"3","key":"9562_CR21","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera, A., Halgamuge, S. K., and Watoson, H. C., Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficient. IEEE Trans. Evol. Comput. 8(3):240\u2013255, 2004.","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9562_CR22","unstructured":"Lovbjerg, M., Rasmussen, T. K., and Krink, T., Hybrid particle swarm optimiser with breeding and sub-populations. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). SanFrancisco, CA, July 2001."},{"key":"9562_CR23","unstructured":"Xie, X. F., Zhang, W. J., et al., Optimizing semiconductor devices by self-organizing particle swarm. Congress on Evolutionary Computation, Oregon, USA, 2017\u20132022, 2004."},{"issue":"12","key":"9562_CR24","doi-asserted-by":"crossref","first-page":"2036","DOI":"10.1360\/jos162036","volume":"16","author":"R He","year":"2005","unstructured":"He, R., Wang, Y., et al., An improved particle swarm optimization based on self-adaptive escape velocity. J. Software 16(12):2036\u20132044, 2005.","journal-title":"J. Software"},{"issue":"3","key":"9562_CR25","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.826069","volume":"8","author":"F Bergh Van den","year":"2004","unstructured":"Van den Bergh, F., and Engelbrecht, A. P., A cooperative approach to particle swarm optimization. IEEE Trans. Evol. Comput. 8(3):225\u2013239, 2004.","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9562_CR26","doi-asserted-by":"crossref","unstructured":"Higashi, N., and Iba, H., Particle swarm optimization with Gaussian mutation. Proceedings of the IEEE Swarm Intelligence Symp. Indianapolis: IEEE Inc, 72\u201379, 2003.","DOI":"10.1109\/SIS.2003.1202250"},{"issue":"12\u201315","key":"9562_CR27","first-page":"4104","volume":"5","author":"J Kennedy","year":"1997","unstructured":"Kennedy, J., and Eberhart, R. C., A discrete binary version of the particle swarm algorithm, systems, man, and cybernetics. Comput. Cybern. Simul. IEEE Int. Conf. 5(12\u201315):4104\u20134108, 1997.","journal-title":"Comput. Cybern. Simul. IEEE Int. Conf."},{"key":"9562_CR28","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1007\/11539902_63","volume":"3612","author":"G Chen","year":"2005","unstructured":"Chen, G., and Yu, J., Two sub-swarms particle swarm optimization algorithm. Lect. Notes Comput. Sci. 3612:515\u2013524, 2005.","journal-title":"Lect. Notes Comput. Sci."},{"key":"9562_CR29","first-page":"591","volume":"1447\/1998","author":"Y Shi","year":"1997","unstructured":"Shi, Y., and Eberhart, R. C., Parameter selection in particle swarm optimization. Lect. Notes Comput. Sci. 1447\/1998:591\u2013600, 1997.","journal-title":"Lect. Notes Comput. Sci."},{"key":"9562_CR30","doi-asserted-by":"crossref","unstructured":"Freitas, A. A., On objective measures of rule surprisingness, [C]\/\/Proc of the 2nd European Symp on Principles of Data Mining and Knowledge Discovery, 1\u20139, 1998.","DOI":"10.1007\/BFb0094799"},{"key":"9562_CR31","doi-asserted-by":"crossref","first-page":"8204","DOI":"10.1016\/j.eswa.2008.10.004","volume":"36","author":"W-C Yeh","year":"2009","unstructured":"Yeh, W.-C., Chang, W.-W., and Chuang, Y. Y., A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method. Expert Syst. Appl. 36:8204\u20138211, 2009.","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"9562_CR32","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1080\/01969720302837","volume":"34","author":"S-M Chen","year":"2003","unstructured":"Chen, S.-M., and Yu, C.-H., A new method to generate fuzzy rules from training instances for handling classification problems. Cybern. Syst. 34(3):217\u2013232, 2003.","journal-title":"Cybern. Syst."},{"issue":"1","key":"9562_CR33","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1109\/3477.740163","volume":"29","author":"TP Wu","year":"1999","unstructured":"Wu, T. P., and Chen, S. M., A new method for constructing membership functions and fuzzy rules from training examples. IEEE Trans. Syst. Man Cybern. Part B 29(1):25\u201340, 1999.","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"},{"issue":"1","key":"9562_CR34","first-page":"34","volume":"84","author":"TP Hong","year":"1996","unstructured":"Hong, T. P., and Lee, C. Y., Induction of fuzzy rules and membership functions from training examples. Fuzzy Sets Syst. 84(1):34\u201337, 1996.","journal-title":"Fuzzy Sets Syst."},{"key":"9562_CR35","unstructured":"Shi, Y., and Eberhart, R., A modified paricle swarm optimizer [A]. In: Proc.of IEEE Int. Conf. On Evolutionary Computation[C]. Anchorage, 69\u201373, 1998."},{"key":"9562_CR36","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.eswa.2005.07.013","volume":"30","author":"T-C Chen","year":"2006","unstructured":"Chen, T.-C., and Hsu, T.-C., A GAs based approach for mining breast cancer pattern. Expert Syst. Appl. 30:674\u2013681, 2006.","journal-title":"Expert Syst. Appl."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-010-9562-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-010-9562-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-010-9562-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T16:59:38Z","timestamp":1740329978000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-010-9562-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,7,31]]},"references-count":36,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,4]]}},"alternative-id":["9562"],"URL":"https:\/\/doi.org\/10.1007\/s10916-010-9562-4","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"type":"print","value":"0148-5598"},{"type":"electronic","value":"1573-689X"}],"subject":[],"published":{"date-parts":[[2010,7,31]]}}}