{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T07:51:05Z","timestamp":1772524265156,"version":"3.50.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T00:00:00Z","timestamp":1547424000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Prog Artif Intell"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s13748-018-00171-x","type":"journal-article","created":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T11:12:14Z","timestamp":1547464334000},"page":"195-213","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Ensemble of classifier chains and Credal C4.5 for solving multi-label classification"],"prefix":"10.1007","volume":"8","author":[{"given":"S.","family":"Moral-Garc\u00eda","sequence":"first","affiliation":[]},{"given":"Carlos J.","family":"Mantas","sequence":"additional","affiliation":[]},{"given":"Javier G.","family":"Castellano","sequence":"additional","affiliation":[]},{"given":"Joaqu\u00edn","family":"Abell\u00e1n","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,14]]},"reference":[{"issue":"5","key":"171_CR1","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1080\/03081070600687643","volume":"35","author":"J Abell\u00e1n","year":"2006","unstructured":"Abell\u00e1n, J.: Uncertainty measures on probability intervals from the imprecise dirichlet model. Int. J. Gen. Syst. 35(5), 509\u2013528 (2006). \n                    https:\/\/doi.org\/10.1080\/03081070600687643","journal-title":"Int. J. Gen. Syst."},{"issue":"4","key":"171_CR2","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/j.inffus.2012.03.003","volume":"14","author":"J Abell\u00e1n","year":"2013","unstructured":"Abell\u00e1n, J.: Ensembles of decision trees based on imprecise probabilities and uncertainty measures. Inf. Fusion 14(4), 423\u2013430 (2013)","journal-title":"Inf. Fusion"},{"issue":"8","key":"171_CR3","doi-asserted-by":"publisher","first-page":"3825","DOI":"10.1016\/j.eswa.2013.12.003","volume":"41","author":"J Abell\u00e1n","year":"2014","unstructured":"Abell\u00e1n, J., Mantas, C.J.: Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring. Expert Syst. Appl. 41(8), 3825\u20133830 (2014). \n                    https:\/\/doi.org\/10.1016\/j.eswa.2013.12.003","journal-title":"Expert Syst. Appl."},{"key":"171_CR4","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/978-3-642-02906-6_39","volume-title":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty","author":"J Abell\u00e1n","year":"2009","unstructured":"Abell\u00e1n, J., Masegosa, A.: An experimental study about simple decision trees for bagging ensemble on datasets with classification noise. In: Sossai, C., Chemello, G. (eds.) Symbolic and Quantitative Approaches to Reasoning with Uncertainty, vol. 5590, pp. 446\u2013456. Springer, Berlin (2009). \n                    https:\/\/doi.org\/10.1007\/978-3-642-02906-6_39"},{"issue":"12","key":"171_CR5","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1002\/int.10143","volume":"18","author":"J Abell\u00e1n","year":"2003","unstructured":"Abell\u00e1n, J., Moral, S.: Building classification trees using the total uncertainty criterion. Int. J. Intell. Syst. 18(12), 1215\u20131225 (2003). \n                    https:\/\/doi.org\/10.1002\/int.10143","journal-title":"Int. J. Intell. Syst."},{"key":"171_CR6","doi-asserted-by":"publisher","unstructured":"Alves, R.T., Delgado, M.R., Freitas, A.A.: Knowledge discovery with artificial immune systems for hierarchical multi-label classification of protein functions. In: International Conference on Fuzzy Systems, pp. 1\u20138 (2010). \n                    https:\/\/doi.org\/10.1109\/FUZZY.2010.5584298","DOI":"10.1109\/FUZZY.2010.5584298"},{"issue":"7","key":"171_CR7","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1093\/bioinformatics\/btk048","volume":"22","author":"Z Barutcuoglu","year":"2006","unstructured":"Barutcuoglu, Z., Schapire, R.E., Troyanskaya, O.G.: Hierarchical multi-label prediction of gene function. Bioinformatics 22(7), 830\u2013836 (2006). \n                    https:\/\/doi.org\/10.1093\/bioinformatics\/btk048","journal-title":"Bioinformatics"},{"issue":"9","key":"171_CR8","doi-asserted-by":"publisher","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","volume":"37","author":"MR Boutell","year":"2004","unstructured":"Boutell, M.R., Luo, J., Shen, X., Brown, C.M.: Learning multi-label scene classification. Pattern Recognit. 37(9), 1757\u20131771 (2004). \n                    https:\/\/doi.org\/10.1016\/j.patcog.2004.03.009","journal-title":"Pattern Recognit."},{"key":"171_CR9","doi-asserted-by":"publisher","unstructured":"Briggs, F., Huang, Y., Raich, R., Eftaxias, K., Lei, Z., Cukierski, W., Hadley, S.F., Hadley, A., Betts, M., Fern, X.Z., Irvine, J., Neal, L., Thomas, A., Fodor, G., Tsoumakas, G., Ng, H.W., Nguyen, T.N.T., Huttunen, H., Ruusuvuori, P., Manninen, T., Diment, A., Virtanen, T., Marzat, J., Defretin, J., Callender, D., Hurlburt, C., Larrey, K., Milakov, M.: The 9th annual MLSP competition: new methods for acoustic classification of multiple simultaneous bird species in a noisy environment. In: 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1\u20138 (2013). \n                    https:\/\/doi.org\/10.1109\/MLSP.2013.6661934","DOI":"10.1109\/MLSP.2013.6661934"},{"key":"171_CR10","doi-asserted-by":"publisher","unstructured":"Charte, D., Charte, F., Garc\u00eda, S., Herrera, F.: A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Prog. Artif. Intell. (2019). \n                    https:\/\/doi.org\/10.1007\/s13748-018-00167-7\n                    \n                  . (in press)","DOI":"10.1007\/s13748-018-00167-7"},{"key":"171_CR11","volume-title":"Multilabel Classification: Problem Analysis, Metrics and Techniques","author":"F Charte","year":"2016","unstructured":"Charte, F., Rivera, A., del Jesus, M., Herrera, F.: Multilabel Classification: Problem Analysis, Metrics and Techniques. Springer, Berlin (2016)"},{"key":"171_CR12","doi-asserted-by":"publisher","unstructured":"Charte, F., Rivera, A.J., Charte, D., del Jesus, M.J., Herrera, F.: Tips, guidelines and tools for managing multi-label datasets: the mldr. datasets R package and the Cometa data repository. Neurocomputing (2018). \n                    https:\/\/doi.org\/10.1016\/j.neucom.2018.02.011\n                    \n                  . (In Press)","DOI":"10.1016\/j.neucom.2018.02.011"},{"key":"171_CR13","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.neucom.2014.08.091","volume":"163","author":"F Charte","year":"2015","unstructured":"Charte, F., Rivera, A.J., del Jesus, M.J., Herrera, F.: Addressing imbalance in multilabel classification: measures and random resampling algorithms. Neurocomputing 163, 3\u201316 (2015). \n                    https:\/\/doi.org\/10.1016\/j.neucom.2014.08.091\n                    \n                  . (Recent advancements in hybrid artificial intelligence systems and its application to real-world problems progress in intelligent systems mining humanistic data)","journal-title":"Neurocomputing"},{"key":"171_CR14","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1007\/3-540-44794-6_4","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"A Clare","year":"2001","unstructured":"Clare, A., King, R.D.: Knowledge discovery in multi-label phenotype data. In: De Raedt, L., Siebes, A. (eds.) Principles of Data Mining and Knowledge Discovery, pp. 42\u201353. Springer, Berlin (2001)"},{"key":"171_CR15","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"key":"171_CR16","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1007\/11573036_42","volume-title":"Advances in Informatics","author":"S Diplaris","year":"2005","unstructured":"Diplaris, S., Tsoumakas, G., Mitkas, P.A., Vlahavas, I.: Protein classification with multiple algorithms. In: Bozanis, P., Houstis, E.N. (eds.) Advances in Informatics, pp. 448\u2013456. Springer, Berlin (2005)"},{"key":"171_CR17","doi-asserted-by":"crossref","unstructured":"Duygulu, P., Barnard, K., de Freitas, J.F.G., Forsyth, D.A.: Object recognition as machine translation: learning a lexicon for a fixed image vocabulary. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) Computer Vision\u2014ECCV 2002, pp. 97\u2013112. Springer, Berlin (2002)","DOI":"10.1007\/3-540-47979-1_7"},{"key":"171_CR18","unstructured":"Elisseeff, A. Weston, J.: A kernel method for multi-labelled classification. In: Advances in Neural Information Processing Systems 14, vol. 14, pp. 681\u2013687 (2001). \n                    https:\/\/dl.acm.org\/citation.cfm?id=2980539.2980628"},{"key":"171_CR19","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s10994-008-5064-8","volume":"73","author":"J F\u00fcrnkranz","year":"2008","unstructured":"F\u00fcrnkranz, J., H\u00fcllermeier, E., Loza Menc\u00eda, E., Brinker, K.: Multilabel classification via calibrated label ranking. Mach. Learn. 73, 133\u2013153 (2008). \n                    https:\/\/doi.org\/10.1007\/s10994-008-5064-8","journal-title":"Mach. Learn."},{"key":"171_CR20","doi-asserted-by":"publisher","unstructured":"Ghamrawi, N., McCallum, A.: Collective multi-label classification. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, pp. 195\u2013200. ACM (2005). \n                    https:\/\/doi.org\/10.1145\/1099554.1099591","DOI":"10.1145\/1099554.1099591"},{"issue":"3","key":"171_CR21","doi-asserted-by":"publisher","first-page":"52:1","DOI":"10.1145\/2716262","volume":"47","author":"E Gibaja","year":"2015","unstructured":"Gibaja, E., Ventura, S.: A tutorial on multilabel learning. ACM Comput. Surv. 47(3), 52:1\u201352:38 (2015). \n                    https:\/\/doi.org\/10.1145\/2716262","journal-title":"ACM Comput. Surv."},{"key":"171_CR22","doi-asserted-by":"publisher","unstructured":"Godbole, S., Sarawagi, S.: Discriminative methods for multi-labeled classification. In: Advances in Knowledge Discovery and Data Mining, pp. 22\u201330. Springer, Berlin (2004). \n                    https:\/\/doi.org\/10.1007\/978-3-540-24775-3_5","DOI":"10.1007\/978-3-540-24775-3_5"},{"key":"171_CR23","doi-asserted-by":"crossref","unstructured":"Ioannou, M., Sakkas, G., Tsoumakas, G., Vlahavas, I.: Obtaining bipartitions from score vectors for multi-label classification. In: 2010 22nd IEEE International Conference on Tools with Artificial Intelligence, vol. 1, pp. 409\u2013416 (2010)","DOI":"10.1109\/ICTAI.2010.65"},{"key":"171_CR24","unstructured":"Katakis, I., Tsoumakas, G., Vlahavas, I.: Multilabel text classification for automated tag suggestion. In: Proceedings of the ECML\/PKDD 2008 Discovery Challenge (2008)"},{"key":"171_CR25","doi-asserted-by":"crossref","unstructured":"Klimt, B., Yang, Y.: The enron corpus: a new dataset for email classification research. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) Machine Learning: ECML 2004, pp. 217\u2013226. Springer, Berlin (2004)","DOI":"10.1007\/978-3-540-30115-8_22"},{"key":"171_CR26","doi-asserted-by":"publisher","DOI":"10.1002\/0471755575","volume-title":"Uncertainty and Information: Foundations of Generalized Information Theory","author":"GJ Klir","year":"2005","unstructured":"Klir, G.J.: Uncertainty and Information: Foundations of Generalized Information Theory. Wiley, New York (2005). \n                    https:\/\/doi.org\/10.1002\/0471755575"},{"issue":"9","key":"171_CR27","doi-asserted-by":"publisher","first-page":"3084","DOI":"10.1016\/j.patcog.2012.03.004","volume":"45","author":"G Madjarov","year":"2012","unstructured":"Madjarov, G., Kocev, D., Gjorgjevikj, D., D\u017eeroski, S.: An extensive experimental comparison of methods for multi-label learning. Pattern Recognit. 45(9), 3084\u20133104 (2012). \n                    https:\/\/doi.org\/10.1016\/j.patcog.2012.03.004","journal-title":"Pattern Recognit."},{"issue":"10","key":"171_CR28","doi-asserted-by":"publisher","first-page":"4625","DOI":"10.1016\/j.eswa.2014.01.017","volume":"41","author":"CJ Mantas","year":"2014","unstructured":"Mantas, C.J., Abell\u00e1n, J.: Credal-C4.5: decision tree based on imprecise probabilities to classify noisy data. Expert Syst. Appl. 41(10), 4625\u20134637 (2014). \n                    https:\/\/doi.org\/10.1016\/j.eswa.2014.01.017","journal-title":"Expert Syst. Appl."},{"key":"171_CR29","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.eswa.2016.05.035","volume":"61","author":"CJ Mantas","year":"2016","unstructured":"Mantas, C.J., Abell\u00e1n, J., Castellano, J.G.: Analysis of Credal-C4.5 for classification in noisy domains. Expert Syst. Appl. 61, 314\u2013326 (2016). \n                    https:\/\/doi.org\/10.1016\/j.eswa.2016.05.035","journal-title":"Expert Syst. Appl."},{"key":"171_CR30","unstructured":"McCallum, A. (1999). Multi-label text classification with a mixture model trained by EM. In: AAAI\u201999 Workshop on Text Learning, pp. 1\u20137"},{"key":"171_CR31","doi-asserted-by":"publisher","unstructured":"Nasierding, G., Kouzani, A.: Image to text translation by multi-label classification. In: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, vol. 6216, pp. 247\u2013254. Springer, Berlin (2010). \n                    https:\/\/doi.org\/10.1007\/978-3-642-14932-0_31","DOI":"10.1007\/978-3-642-14932-0_31"},{"key":"171_CR32","doi-asserted-by":"crossref","unstructured":"Pestian, J.P., Brew, C., Matykiewicz, P., Hovermale, D.J., Johnson, N., Cohen, K.B., Duch, W.: A shared task involving multi-label classification of clinical free text. In: Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing, pp. 97\u2013104. Association for Computational Linguistics (2007)","DOI":"10.3115\/1572392.1572411"},{"key":"171_CR33","volume-title":"C4.5: Programs for Machine Learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc., San Francisco (1993)"},{"key":"171_CR34","unstructured":"R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2013). \n                    http:\/\/www.R-project.org\/"},{"issue":"3","key":"171_CR35","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/s10994-011-5256-5","volume":"85","author":"J Read","year":"2011","unstructured":"Read, J., Pfahringer, B., Holmes, G., Frank, E.: Classifier chains for multi-label classification. Mach. Learn. 85(3), 333 (2011). \n                    https:\/\/doi.org\/10.1007\/s10994-011-5256-5","journal-title":"Mach. Learn."},{"issue":"2","key":"171_CR36","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1023\/A:1007649029923","volume":"39","author":"RE Schapire","year":"2000","unstructured":"Schapire, R.E., Singer, Y.: Boostexter: a boosting-based system for text categorization. Mach. Learn. 39(2), 135\u2013168 (2000). \n                    https:\/\/doi.org\/10.1023\/A:1007649029923","journal-title":"Mach. Learn."},{"issue":"3","key":"171_CR37","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"CE Shannon","year":"1948","unstructured":"Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379\u2013423 (1948). \n                    https:\/\/doi.org\/10.1002\/j.1538-7305.1948.tb01338.x","journal-title":"Bell Syst. Tech. J."},{"key":"171_CR38","doi-asserted-by":"publisher","unstructured":"Snoek, C.G.M., Worring, M., van Gemert, J.C., Geusebroek, J.-M., Smeulders, A.W.M.: The challenge problem for automated detection of 101 semantic concepts in multimedia. In: Proceedings of the 14th ACM International Conference on Multimedia, pp. 421\u2013430. ACM (2006). \n                    https:\/\/doi.org\/10.1145\/1180639.1180727","DOI":"10.1145\/1180639.1180727"},{"issue":"3","key":"171_CR39","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s13748-018-0142-z","volume":"7","author":"R Sousa","year":"2018","unstructured":"Sousa, R., Gama, J.: Multi-label classification from high-speed data streams with adaptive model rules and random rules. Prog. Artif. Intell. 7(3), 177\u2013187 (2018). \n                    https:\/\/doi.org\/10.1007\/s13748-018-0142-z","journal-title":"Prog. Artif. Intell."},{"key":"171_CR40","unstructured":"Trohidis, K., Tsoumakas, G., Kalliris, G., Vlahavas, I.P.: Multi-label classification of music into emotions. In: ISMIR, vol. 8, pp. 325\u2013330 (2008)"},{"key":"171_CR41","unstructured":"Tsoumakas, G., Katakis, I., Vlahavas, I.: Effective and efficient multilabel classification in domains with large number of labels. In: Proc. ECML\/PKDD 2008 Workshop on Mining Multidimensional Data (MMD\u201908), pp. 30\u201344 (2008)"},{"key":"171_CR42","first-page":"2411","volume":"12","author":"G Tsoumakas","year":"2011","unstructured":"Tsoumakas, G., Spyromitros-Xioufis, E., Vilcek, J., Vlahavas, I.: Mulan: a java library for multi-label learning. J. Mach. Learn. Res. 12, 2411\u20132414 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"171_CR43","doi-asserted-by":"publisher","unstructured":"Tsoumakas, G. Vlahavas, I.: Random k-labelsets: an ensemble method for multilabel classification. In: European Conference on Machine Learning, pp. 406\u2013417. Springer (2007). \n                    https:\/\/doi.org\/10.1007\/978-3-540-74958-5_38","DOI":"10.1007\/978-3-540-74958-5_38"},{"issue":"2","key":"171_CR44","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1109\/TASL.2007.913750","volume":"16","author":"D Turnbull","year":"2008","unstructured":"Turnbull, D., Barrington, L., Torres, D., Lanckriet, G.: Semantic annotation and retrieval of music and sound effects. IEEE Trans. Audio Speech Lang. Process. 16(2), 467\u2013476 (2008). \n                    https:\/\/doi.org\/10.1109\/TASL.2007.913750","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"issue":"1","key":"171_CR45","doi-asserted-by":"publisher","first-page":"3","DOI":"10.2307\/2346164","volume":"58","author":"P Walley","year":"1996","unstructured":"Walley, P.: Inferences from multinomial data: learning about a bag of marbles (with discussion). J. R. Stat. Soc. Ser. B (Methodological) 58(1), 3\u201357 (1996). \n                    https:\/\/doi.org\/10.2307\/2346164","journal-title":"J. R. Stat. Soc. Ser. B (Methodological)"},{"issue":"6","key":"171_CR46","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. Biom. Bull. 1(6), 80\u201383 (1945). \n                    https:\/\/doi.org\/10.2307\/3001968","journal-title":"Biom. Bull."},{"key":"171_CR47","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2005","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann Publishers Inc., San Francisco (2005)","edition":"2"},{"issue":"10","key":"171_CR48","doi-asserted-by":"publisher","first-page":"1338","DOI":"10.1109\/TKDE.2006.162","volume":"18","author":"M-L Zhang","year":"2006","unstructured":"Zhang, M.-L., Zhou, Z.-H.: Multilabel neural networks with applications to functional genomics and text categorization. IEEE Trans. Knowl. Data Eng. 18(10), 1338\u20131351 (2006). \n                    https:\/\/doi.org\/10.1109\/TKDE.2006.162","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"8","key":"171_CR49","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1109\/TKDE.2013.39","volume":"26","author":"ML Zhang","year":"2014","unstructured":"Zhang, M.L., Zhou, Z.H.: A review on multi-label learning algorithms. IEEE Trans. Knowl. Data Eng. 26(8), 1819\u20131837 (2014). \n                    https:\/\/doi.org\/10.1109\/TKDE.2013.39","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13748-018-00171-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-018-00171-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-018-00171-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,14]],"date-time":"2020-01-14T00:11:59Z","timestamp":1578960719000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13748-018-00171-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,14]]},"references-count":49,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["171"],"URL":"https:\/\/doi.org\/10.1007\/s13748-018-00171-x","relation":{},"ISSN":["2192-6352","2192-6360"],"issn-type":[{"value":"2192-6352","type":"print"},{"value":"2192-6360","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,14]]},"assertion":[{"value":"10 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 December 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 January 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}