{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:19:31Z","timestamp":1743142771798,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319508795"},{"type":"electronic","value":"9783319508801"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-50880-1_6","type":"book-chapter","created":{"date-parts":[[2017,1,2]],"date-time":"2017-01-02T13:42:18Z","timestamp":1483364538000},"page":"65-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Induction of Rules Based on Similarity Relations for Imbalance Datasets. A Case of Study"],"prefix":"10.1007","author":[{"given":"Yaima","family":"Filiberto","sequence":"first","affiliation":[]},{"given":"Mabel","family":"Frias","sequence":"additional","affiliation":[]},{"given":"Rafael","family":"Larrua","sequence":"additional","affiliation":[]},{"given":"Rafael","family":"Bello","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,1,3]]},"reference":[{"key":"6_CR1","first-page":"255","volume":"17","author":"J Alcal\u00e1","year":"2010","unstructured":"Alcal\u00e1, J., et al.: KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J. Multi.-Valued Log. Soft Comput. 17, 255\u2013287 (2010)","journal-title":"J. Multi.-Valued Log. Soft Comput."},{"issue":"1","key":"6_CR2","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1145\/1007730.1007735","volume":"6","author":"GE Batista","year":"2004","unstructured":"Batista, G.E., et al.: A study of the behaviour of several methods for balancing machine learning training data. SIGKDD Explor. 6(1), 20\u201329 (2004)","journal-title":"SIGKDD Explor."},{"key":"6_CR3","unstructured":"Bonilla, J.D.: Estudio del comportamiento de conectores tipo perno de estructuras compuestas de hormig\u00f3n y acero mediante modelaci\u00f3n num\u00e9rica. Ph.D., Universidad Central \u201cMarta Abreu\u201d de Las Villas Santa Clara"},{"issue":"7","key":"6_CR4","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"AP Bradley","year":"1997","unstructured":"Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recogn. 30(7), 1145\u20131159 (1997)","journal-title":"Pattern Recogn."},{"key":"6_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/978-3-642-01307-2_43","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"C Bunkhumpornpat","year":"2009","unstructured":"Bunkhumpornpat, C., Sinapiromsaran, K., Lursinsap, C.: Safe-Level-SMOTE: safe-level-synthetic minority over-sampling TEchnique for handling the class imbalanced problem. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (eds.) PAKDD 2009. LNCS (LNAI), vol. 5476, pp. 475\u2013482. Springer, Berlin, Heidelberg (2009). doi: 10.1007\/978-3-642-01307-2_43"},{"issue":"1","key":"6_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1007730.1007733","volume":"6","author":"NV Chawla","year":"2004","unstructured":"Chawla, N.V., et al.: Editorial: special issue on learning from imbalanced data sets. SIGKDD Explor. 6(1), 1\u20136 (2004)","journal-title":"SIGKDD Explor."},{"key":"6_CR7","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., et al.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"issue":"18","key":"6_CR8","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1016\/j.fss.2007.12.023","volume":"159","author":"A Fern\u00e1ndez","year":"2008","unstructured":"Fern\u00e1ndez, A., et al.: A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. Fuzzy Sets Syst. 159(18), 2378\u20132398 (2008)","journal-title":"Fuzzy Sets Syst."},{"key":"6_CR9","first-page":"62","volume":"78","author":"Y Filiberto","year":"2011","unstructured":"Filiberto, Y., Bello, R., et al.: Algoritmo para el aprendizaje de reglas de clasificaci\u00f3n basado en la teor\u00eda de los conjuntos aproximados extendida. Revista DYNA 78, 62\u201370 (2011)","journal-title":"Revista DYNA"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Filiberto, Y., Bello, R., et al.: A method to built similarity relations into extended Rough set theory. In: Proceedings of the 10th International Conference on Intelligent Systems Design and Applications (ISDA2010), Cairo, Egipto (2010)","DOI":"10.1109\/ISDA.2010.5687091"},{"key":"6_CR11","doi-asserted-by":"crossref","first-page":"27","DOI":"10.3233\/FI-1997-3113","volume":"31","author":"JW Grzymala-Busse","year":"1997","unstructured":"Grzymala-Busse, J.W.: A new version of the rule induction system LERS. Fundamenta Informaticae 31, 27\u201339 (1997)","journal-title":"Fundamenta Informaticae"},{"key":"6_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1007\/11538059_91","volume-title":"Advances in Intelligent Computing","author":"H Han","year":"2005","unstructured":"Han, H., Wang, W.-Y., Mao, B.-H.: Borderline-SMOTE: a new over-sampling method in imbalanced data sets learning. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005. LNCS, vol. 3644, pp. 878\u2013887. Springer, Berlin, Heidelberg (2005). doi: 10.1007\/11538059_91"},{"key":"6_CR13","first-page":"65","volume":"6","author":"S Holm","year":"1979","unstructured":"Holm, S.: A simple sequentially rejective multiple test procedure. J. Stat. 6, 65\u201370 (1979)","journal-title":"J. Stat."},{"issue":"3","key":"6_CR14","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1109\/TKDE.2005.50","volume":"17","author":"J Huang","year":"2005","unstructured":"Huang, J., Ling, C.X.: Using AUC and accuracy in evaluating learning algorithms. IEEE Trans. Knowl. Data Eng. 17(3), 299\u2013310 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1080\/03610928008827904","volume":"9","author":"R Iman","year":"1980","unstructured":"Iman, R., Davenport, J.: Approximations of the critical region of the friedman statistic. Commun. Stat. Theor. Method, Part A 9, 571\u2013595 (1980)","journal-title":"Commun. Stat. Theor. Method, Part A"},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1109\/TSMCA.2010.2084081","volume":"41","author":"TM Khoshgoftaar","year":"2010","unstructured":"Khoshgoftaar, T.M., Van Hulse, J.: Comparing boosting and bagging techniques with noisy and imbalanced data. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 41, 552\u2013568 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part A Syst. Hum."},{"key":"6_CR17","volume-title":"Machine Learning","author":"T Mitchell","year":"1997","unstructured":"Mitchell, T.: Machine Learning. McGraw Hill, New York (1997)"},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak, Z.: Rough Sets. Int. J. Comput. Inf. Sci. 11, 341\u2013356 (1982)","journal-title":"Int. J. Comput. Inf. Sci."},{"key":"6_CR19","doi-asserted-by":"publisher","first-page":"4222","DOI":"10.1016\/j.eswa.2010.09.087","volume":"38","author":"L Tong","year":"2011","unstructured":"Tong, L., Chang, Y.C.: Determining the optimal resampling strategy for a classification model with imbalanced data using design of experiments and response surface methodologies. Expert Syst. Appl. 38, 4222\u20134227 (2011)","journal-title":"Expert Syst. Appl."},{"key":"6_CR20","series-title":"Data Mining and Knowledge Discovery Series","volume-title":"The Top Ten Algorithms in Data Mining","author":"X Wu","year":"2001","unstructured":"Wu, X., Kumar, V.: The Top Ten Algorithms in Data Mining. Data Mining and Knowledge Discovery Series. Chapman & Hall\/CRC, Boca Raton (2001)"},{"key":"6_CR21","unstructured":"Yaima., F., Bello, R., et al.: M\u00e9todo para el aprendizaje de reglas de clasificaci\u00f3n para conjuntos de datos no balanceados. Revista Cubana de Ciencias Inform\u00e1ticas (RCCI) 5(4)"}],"container-title":["Communications in Computer and Information Science","Applied Computer Sciences in Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-50880-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T12:01:43Z","timestamp":1601294503000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-50880-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319508795","9783319508801"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-50880-1_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"3 January 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WEA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Workshop on Engineering Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bogot\u00e1","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Colombia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"woea2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ieee.udistrital.edu.co\/wea2016\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}