{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T23:54:12Z","timestamp":1725580452992},"publisher-location":"Berlin, Heidelberg","reference-count":26,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642202667"},{"type":"electronic","value":"9783642202674"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-20267-4_28","type":"book-chapter","created":{"date-parts":[[2011,4,8]],"date-time":"2011-04-08T20:34:38Z","timestamp":1302294878000},"page":"265-274","source":"Crossref","is-referenced-by-count":1,"title":["Diagnosis of Cardiac Arrhythmia Using Fuzzy Immune Approach"],"prefix":"10.1007","author":[{"given":"Olgierd","family":"Unold","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"28_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/11547686_21","volume-title":"Advances in Databases and Information Systems","author":"B. Alatas","year":"2005","unstructured":"Alatas, B., Akin, E.: Mining Fuzzy Classification Rules Using an Artificial Immune System with Boosting. In: Eder, J., et al. (eds.) ADBIS 2005. LNCS, vol.\u00a03631, pp. 283\u2013293. Springer, Heidelberg (2005)"},{"key":"28_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1007\/978-3-540-30217-9_102","volume-title":"Parallel Problem Solving from Nature - PPSN VIII","author":"R.T. Alves","year":"2004","unstructured":"Alves, R.T., et al.: An artificial immune system for fuzzy-rule induction in data mining. In: Yao, X., et al. (eds.) PPSN 2004. LNCS, vol.\u00a03242, pp. 1011\u20131020. Springer, Heidelberg (2004)"},{"key":"28_CR3","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/0022-2496(75)90001-2","volume":"12","author":"D. Bamber","year":"1975","unstructured":"Bamber, D.: The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. Journal of Mathematics and Psychology\u00a012, 387\u2013415 (1975)","journal-title":"Journal of Mathematics and Psychology"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Cleary, J.G., Trigg, L.E.: K: An Instance- based Learner Using an Entropic Distance Measure. In: Proceedings of the 12th International Conference on Machine Learning, pp. 108\u2013114 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50022-0"},{"key":"28_CR5","volume-title":"The Fuzzy Systems Handbook: A Practitioner\u2019s Guide to Building, using, and Maintaining Fuzzy Systems","author":"E. Cox","year":"1994","unstructured":"Cox, E.: The Fuzzy Systems Handbook: A Practitioner\u2019s Guide to Building, using, and Maintaining Fuzzy Systems. Academic Press, Cambridge (1994)"},{"volume-title":"Artificial Immune Systems and Their Applications","year":"1999","key":"28_CR6","unstructured":"Dasgupta, D. (ed.): Artificial Immune Systems and Their Applications. Springer, Heidelberg (1999)"},{"key":"28_CR7","doi-asserted-by":"crossref","unstructured":"Davis, J., Goadrich, M.: The Relationship Between Precision-Recall and ROC Curves. In: 23rd International Conference on Machine Learning (ICML), Pittsburgh, PA, USA, June 26-28 (2006)","DOI":"10.1145\/1143844.1143874"},{"key":"28_CR8","first-page":"1081","volume-title":"Proceedings of Genetic and Evolutionary Computation","author":"F.A. Gonzales","year":"2002","unstructured":"Gonzales, F.A., Dasgupta, D.: An Immunogenetic Technique to Detect Anomalies in Network Traffic. In: Proceedings of Genetic and Evolutionary Computation, pp. 1081\u20131088. Morgan Kaufmann, San Francisco (2002)"},{"key":"28_CR9","volume-title":"Signal detection theory and psychophysics","author":"D.M. Green","year":"1966","unstructured":"Green, D.M., Swets, J.M.: Signal detection theory and psychophysics. John Wiley & Sons Inc., New York (1966)"},{"key":"28_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1007\/3-540-45554-X_46","volume-title":"Rough Sets and Current Trends in Computing","author":"J.W. Grzymala-Busse","year":"2001","unstructured":"Grzymala-Busse, J.W., Hu, M.: A Comparison of Several Approaches to Missing Attribute Values in Data Mining. In: Ziarko, W.P., Yao, Y. (eds.) RSCTC 2000. LNCS (LNAI), vol.\u00a02005, pp. 378\u2013385. Springer, Heidelberg (2001)"},{"key":"28_CR11","unstructured":"G\u00fcvenir, H.A., Acar, B.: Feature selection using a genetic algorithm for the detection of abnormal ECG recordings. In: Proceedings of the World Conference on Systemics, Cybernetics and Informatics (ISAS\/SCI 2001), Orlando, FL, pp. 437\u2013442 (2001)"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Kalina, A., M\u0119\u017cyk, E., Unold, O.: Accuracy Boosting Induction of Fuzzy Rules with Artificial Immune Systems. In: Proceedings of the International Multiconference on Computer Science and Information Technology, Wisla, Poland, pp. 155\u2013159 (2008)","DOI":"10.1109\/IMCSIT.2008.4747233"},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Lin, W., Jin, R., Hauptmann, A.: Meta-classification of Multimedia Classifiers. In: International Workshop on Knowledge Discove. In: Multimedia and Complex Data, Taipei, Taiwan (2002)","DOI":"10.1007\/978-3-540-39666-6_14"},{"key":"28_CR14","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-7908-1823-9_8","volume-title":"Fuzzy Partitioning Methods, Granular Computing: An Emerging Paradigm","author":"C. Marsala","year":"2001","unstructured":"Marsala, C.: Fuzzy Partitioning Methods, Granular Computing: An Emerging Paradigm, pp. 163\u2013186. Physica-Verlag GmbH, Heidelberg (2001)"},{"key":"28_CR15","unstructured":"M\u0119\u017cyk, E., Unold, O.: Speed Boosting Induction of Fuzzy Rules with Artificial Immune Systems. In: Mastorakis, E.M., et al. (eds.) Proc. of the 12th WSEAS International Conference on Systems, Heraklion, Greece, July 22-24, pp. 704\u2013706 (2008)"},{"key":"28_CR16","series-title":"AISC","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/978-3-540-89619-7_29","volume-title":"Applications of Soft Computing","author":"E. M\u0119\u017cyk","year":"2009","unstructured":"M\u0119\u017cyk, E., Unold, O.: Improving Mining Fuzzy Rules with Artificial Immune Systems by Uniform Population. In: Mehnen, J., et al. (eds.) Applications of Soft Computing. AISC, vol.\u00a058, pp. 295\u2013303. Springer, Heidelberg (2009)"},{"key":"28_CR17","doi-asserted-by":"crossref","unstructured":"Nasaroui, O., Gonzales, F., Dasgupta, D.: The Fuzzy Artificial Immune System: Motivations, Basic Concepts, and Application to Clustering and Web Profiling. In: Proceedings of IEEE International Conference on Fuzzy Systems, pp. 711\u2013716 (2002)","DOI":"10.1109\/FUZZ.2002.1005080"},{"key":"28_CR18","series-title":"Studies in Fuzziness and Soft Computing","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-1823-9","volume-title":"Granular Computing","author":"W. Pedrycz","year":"2001","unstructured":"Pedrycz, W.: Granular Computing. Studies in Fuzziness and Soft Computing. Physica-Verlag, Heidelberg (2001)"},{"key":"28_CR19","volume-title":"Knowledge discovery in databases","author":"G. Piatetsky-Shapiro","year":"1991","unstructured":"Piatetsky-Shapiro, G., Frawley, W.J.: Knowledge discovery in databases. AAAI Press, Menlo Park (1991)"},{"issue":"2","key":"28_CR20","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.eswa.2005.09.019","volume":"31","author":"K. Polat","year":"2006","unstructured":"Polat, K., Sahan, S., Gn\u0308es, S.: A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted preprocessing and application to ECG arrhythmia. Expert Syst. Appl.\u00a031(2), 264\u2013269 (2006)","journal-title":"Expert Syst. Appl."},{"key":"28_CR21","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.dsp.2007.05.006","volume":"18","author":"K. Polat","year":"2008","unstructured":"Polat, K., Akdemir, B., Gune, S.: Computer aided diagnosis of ECG data on the least square support vector machine. Digital Signal Processing\u00a018, 25\u201332 (2008)","journal-title":"Digital Signal Processing"},{"key":"28_CR22","volume-title":"C4.5: Programs For Machine Learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs For Machine Learning. Morgan Kaufmann, San Mateo (1993)"},{"key":"28_CR23","unstructured":"Rish, I.: An empirical study of the naive Bayes classifier. In: IJCAI 2001 Workshop on Empirical Methods in Artificial Intelligence (2001)"},{"key":"28_CR24","unstructured":"Soman, T., Bobbie, P.O.: Classification of arrhythmia using machine learning techniques. In: Proc. of 4th International Conference on System Science and Engineering (ICOSSE), Copacabana, Rio de Janeiro, Brazil (2005)"},{"key":"28_CR25","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"I.H. Witten","year":"2005","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann, San Mateo (2005)","edition":"2"},{"key":"28_CR26","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1016\/j.fss.2007.08.007","volume":"159","author":"M. Zolghadri Jahromi","year":"2008","unstructured":"Zolghadri Jahromi, M., Taheri, M.: A proposed method for learning rule weights in fuzzy rule-based classification systems. Fuzzy Sets and Systems\u00a0159, 449\u2013459 (2008)","journal-title":"Fuzzy Sets and Systems"}],"container-title":["Lecture Notes in Computer Science","Adaptive and Natural Computing Algorithms"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-20267-4_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,9]],"date-time":"2019-06-09T18:08:09Z","timestamp":1560103689000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-20267-4_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642202667","9783642202674"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-20267-4_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}