{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T21:57:01Z","timestamp":1725487021290},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642371882"},{"type":"electronic","value":"9783642371899"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-37189-9_8","type":"book-chapter","created":{"date-parts":[[2013,2,25]],"date-time":"2013-02-25T02:55:52Z","timestamp":1361760952000},"page":"80-91","source":"Crossref","is-referenced-by-count":2,"title":["ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins"],"prefix":"10.1007","author":[{"given":"Khalid M.","family":"Salama","sequence":"first","affiliation":[]},{"given":"Alex A.","family":"Freitas","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"3045","DOI":"10.1093\/bioinformatics\/btp536","volume":"25","author":"D. Binns","year":"2009","unstructured":"Binns, D., Dimmer, E., Huntley, R., Barrell, D., O\u2019Donovan, C., Apweiler, R.: QuickGO: a web-based tool for Gene Ontology searching. Bioinformatics\u00a025, 3045\u20133046 (2009)","journal-title":"Bioinformatics"},{"issue":"3","key":"8_CR2","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/S0888-613X(02)00091-9","volume":"31","author":"L.M. Campos de","year":"2002","unstructured":"de Campos, L.M., Fernandez-Luna, J.M., Gamez, J.A., Puerta, J.M.: Ant colony optimization for learning Bayesian networks. International Journal of Approximate Reasoning\u00a031(3), 291\u2013311 (2002)","journal-title":"International Journal of Approximate Reasoning"},{"key":"8_CR3","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/3-540-45153-6_14","volume-title":"Advances in Artificial Intelligence","author":"J. Cheng","year":"2001","unstructured":"Cheng, J., Greiner, R.: Learning Bayesian Belief Network Classifiers: Algorithms and System. In: Stroulia, E., Matwin, S. (eds.) AI 2001. LNCS (LNAI), vol.\u00a02056, pp. 141\u2013151. Springer, Heidelberg (2001)"},{"key":"8_CR4","series-title":"Lecture Notes in Bioinformatics","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-3-540-85557-6_4","volume-title":"Advances in Bioinformatics and Computational Biology","author":"E.P. Costa","year":"2008","unstructured":"Costa, E.P., Lorena, A.C., Carvalho, A.C.P.L.F., Freitas, A.A.: Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. In: Bazzan, A.L.C., Craven, M., Martins, N.F. (eds.) BSB 2008. LNCS (LNBI), vol.\u00a05167, pp. 35\u201346. Springer, Heidelberg (2008)"},{"issue":"2","key":"8_CR5","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1017\/S0269888910000251","volume":"26","author":"R. Daly","year":"2011","unstructured":"Daly, R., Shen, Q., Aitken, S.: Learning bayesian networks: Approaches and issues. Knowledge Engineering Reviews\u00a026(2), 99\u2013157 (2011)","journal-title":"Knowledge Engineering Reviews"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Dorigo, M., St\u00fctzle, T.: Ant Colony Optimization. The MIT Press (2004)","DOI":"10.7551\/mitpress\/1290.001.0001"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Freitas, A.A., de Carvalho, A.C.P.F.L.: A tutorial on hierarchical classification with applications in bioinformatics. In: Research and Trends in Data Mining Technologies and Applications, pp. 175\u2013208 (2007)","DOI":"10.4018\/978-1-59904-271-8.ch007"},{"key":"8_CR8","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/nprot.2008.211","volume":"4","author":"D. Huang","year":"2009","unstructured":"Huang, D., Sherman, B., Lempicki, R.: Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources. Nature Protocol\u00a04, 44\u201357 (2009)","journal-title":"Nature Protocol"},{"key":"8_CR9","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/978-3-540-73871-8_14","volume-title":"Advanced Data Mining and Applications","author":"L. Jiang","year":"2007","unstructured":"Jiang, L., Wang, D., Cai, Z., Yan, X.: Survey of Improving Naive Bayes for Classification. In: Alhajj, R., Gao, H., Li, X., Li, J., Za\u00efane, O.R. (eds.) ADMA 2007. LNCS (LNAI), vol.\u00a04632, pp. 134\u2013145. Springer, Heidelberg (2007)"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"de Magalhaes, J., Budovsky, A., Lehmann, G., Costa, J., Li, Y., Church, V.F.G.: The Human Ageing Genomic Resources: online databases and tools for biogerontologists. Aging Cell, 65\u201372 (2009)","DOI":"10.1111\/j.1474-9726.2008.00442.x"},{"issue":"1","key":"8_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10994-010-5216-5","volume":"82","author":"D. Martens","year":"2011","unstructured":"Martens, D., Baesens, B., Fawcett, T.: Editorial survey: swarm intelligence for data mining. Machine Learning\u00a082(1), 1\u201342 (2011)","journal-title":"Machine Learning"},{"key":"8_CR12","first-page":"321","volume":"6","author":"R.S. Parpinelli","year":"2002","unstructured":"Parpinelli, R.S., Lopes, H.S., Freitas, A.A.: Data mining with an ant colony optimization algorithm. IEEE TEC\u00a06, 321\u2013332 (2002)","journal-title":"IEEE TEC"},{"issue":"4","key":"8_CR13","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1109\/TEVC.2009.2024142","volume":"13","author":"P.C. Pinto","year":"2009","unstructured":"Pinto, P.C., N\u00e4gele, A., Dejori, M., Runkler, T.A., Sousa, J.M.C.: Using a local discovery ant algorithm for Bayesian network structure learning. IEEE Transactions on Evolutionary Computation\u00a013(4), 767\u2013779 (2009)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"8_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-642-32650-9_2","volume-title":"Swarm Intelligence","author":"K.M. Salama","year":"2012","unstructured":"Salama, K.M., Freitas, A.A.: ABC-Miner: An Ant-Based Bayesian Classification Algorithm. In: Dorigo, M., Birattari, M., Blum, C., Christensen, A.L., Engelbrecht, A.P., Gro\u00df, R., St\u00fctzle, T. (eds.) ANTS 2012. LNCS, vol.\u00a07461, pp. 13\u201324. Springer, Heidelberg (2012)"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Schietgat, L., Vens, C., Struyf, J., Blockeel, H., Kocev, D., Dzeroski, S.: Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinformatics\u00a011(1) (2010)","DOI":"10.1186\/1471-2105-11-2"},{"issue":"2","key":"8_CR16","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1504\/IJDMB.2010.032150","volume":"4","author":"A. Secker","year":"2010","unstructured":"Secker, A., Davies, M.N., Freitas, A.A., Clark, E., Timmis, J., Flower, D.R.: Hierarchical classification of GPCR with data-driven selection of attributes and classifiers. International Journal of Data Mining and Bioinformatics\u00a04(2), 191\u2013210 (2010)","journal-title":"International Journal of Data Mining and Bioinformatics"},{"key":"8_CR17","first-page":"17","volume":"9","author":"A. Secker","year":"2007","unstructured":"Secker, A., Davies, M.N., Freitas, A.A., Timmis, J., Mendao, M., Flower, D.R.: An experimental comparison of classification algorithms for the hierarchical prediction of protein function. Expert Update (BCS-SGAI Magazine)\u00a09, 17\u201322 (2007)","journal-title":"Expert Update (BCS-SGAI Magazine)"},{"issue":"6","key":"8_CR18","doi-asserted-by":"crossref","first-page":"979","DOI":"10.3233\/IDA-2011-0505","volume":"15","author":"C.N. Silla","year":"2011","unstructured":"Silla, C.N., Freitas, A.A.: Selecting different protein representations and classification algorithms in hierarchical protein function prediction. Intelligent Data Analysis\u00a015(6), 979\u2013999 (2011)","journal-title":"Intelligent Data Analysis"},{"issue":"1-2","key":"8_CR19","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s10618-010-0175-9","volume":"22","author":"C.N. Silla","year":"2011","unstructured":"Silla, C.N., Freitas, A.A.: A survey of hierarchical classification across different application domains. Data Mining and Knowledge Discovery\u00a022(1-2), 31\u201372 (2011)","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"1","key":"8_CR20","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"The Gene Ontology Consortium","year":"2000","unstructured":"The Gene Ontology Consortium: Gene ontology: tool for the unification of biology. Nature Genetics 25(1), 25\u201329 (2000)","journal-title":"Nature Genetics"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"The UniProt Consortium: The Universal Protein Resource (Uniprot). Nucleic Acids Research 38, D142\u2013D148 (2010)","DOI":"10.1093\/nar\/gkp846"},{"key":"8_CR22","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"I.H. Witten","year":"2010","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Morgan Kaufmann, San Francisco (2010)","edition":"3"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Wu, Y., McCall, J., Corne, D.: Two novel Ant Colony Optimization approaches for Bayesian network structure learning. In: International Conference on Evolutionary Computation (CEC), pp. 1\u20137 (2010)","DOI":"10.1109\/CEC.2010.5586528"}],"container-title":["Lecture Notes in Computer Science","Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-37189-9_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,11]],"date-time":"2019-05-11T11:13:07Z","timestamp":1557573187000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-37189-9_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642371882","9783642371899"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-37189-9_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}