{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T12:20:57Z","timestamp":1725538857156},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642044403"},{"type":"electronic","value":"9783642044410"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"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":[[2009]]},"DOI":"10.1007\/978-3-642-04441-0_55","type":"book-chapter","created":{"date-parts":[[2009,10,4]],"date-time":"2009-10-04T02:10:51Z","timestamp":1254622251000},"page":"629-640","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Evolutionary Approach for the Protein Classification Problem"],"prefix":"10.1007","author":[{"given":"Denise F.","family":"Tsunoda","sequence":"first","affiliation":[]},{"given":"Heitor S.","family":"Lopes","sequence":"additional","affiliation":[]},{"given":"Alex A.","family":"Freitas","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"55_CR1","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1093\/bioinformatics\/bth044","volume":"20","author":"A.K. Arakaki","year":"2004","unstructured":"Arakaki, A.K., Zhang, Y., Skolnick, J.: Large-scale assessment of the utility of low-resolution protein structures for biochemical function assignment. Bioinformatics\u00a020, 1087\u20131096 (2004)","journal-title":"Bioinformatics"},{"key":"55_CR2","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1093\/bioinformatics\/btg1002","volume":"19","author":"A. Ben-Hur","year":"2003","unstructured":"Ben-Hur, A., Brutlag, D.: Remote homology detection: a motif based approach. Bioinformatics\u00a019, i26\u2013i33 (2003)","journal-title":"Bioinformatics"},{"key":"55_CR3","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1093\/nar\/28.1.235","volume":"28","author":"H.M. Berman","year":"2000","unstructured":"Berman, H.M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T.N., Weissig, H., Shindyalov, I.N., Bourne, P.E.: The protein data bank. Nucleic Acids Research\u00a028, 235\u2013242 (2000)","journal-title":"Nucleic Acids Research"},{"key":"55_CR4","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1093\/bioinformatics\/18.1.160","volume":"18","author":"A. Clare","year":"2002","unstructured":"Clare, A., King, R.D.: Machine learning of functional class from phenotype data. Bioinformatics\u00a018, 160\u2013166 (2002)","journal-title":"Bioinformatics"},{"key":"55_CR5","doi-asserted-by":"crossref","unstructured":"Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery: an overview. In: Fayyad, U.M., et al. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 1\u201334 (1996)","DOI":"10.1023\/A:1009792101442"},{"key":"55_CR6","volume-title":"Genetic Algorithms in Search, Optimization & Machine Learning","author":"D.E. Goldberg","year":"1989","unstructured":"Goldberg, D.E.: Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley, Reading (1989)"},{"key":"55_CR7","volume-title":"Data Mining: Concepts and Techniques","author":"J. Han","year":"2001","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco (2001)"},{"key":"55_CR8","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/s00500-008-0321-0","volume":"13","author":"N. Holden","year":"2009","unstructured":"Holden, N., Freitas, A.A.: Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation. Soft Computing\u00a013, 259\u2013272 (2009)","journal-title":"Soft Computing"},{"key":"55_CR9","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1093\/bioinformatics\/17.5.445","volume":"17","author":"R.D. King","year":"2001","unstructured":"King, R.D., Karwath, A., Clare, A., Dehaspe, L.: The Utility of different representations of protein sequence for predicting functional class. Bioinformatics\u00a017, 445\u2013454 (2001)","journal-title":"Bioinformatics"},{"key":"55_CR10","volume-title":"Genetic Programming: on the Programming of Computers by Means of Natural Selection","author":"J.R. Koza","year":"1992","unstructured":"Koza, J.R.: Genetic Programming: on the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)"},{"key":"55_CR11","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1093\/bioinformatics\/17.10.920","volume":"17","author":"K. Kretschmann","year":"2001","unstructured":"Kretschmann, K., Fleischmann, W., Apweiler, R.: Automatic rule generation for protein annotation with the C4.5 data mining algorithm applied on Swiss-Prot. Bioinformatics\u00a017, 920\u2013926 (2001)","journal-title":"Bioinformatics"},{"key":"55_CR12","doi-asserted-by":"crossref","unstructured":"Manning, A.M., Brass, A., Goble, C.A., Keane, J.A.: Clustering techniques in biological sequence analysis. In: Proceedings of the 1st European Symposium on Principles of Data Mining and Knowledge Discovery, pp. 315\u2013322 (1997)","DOI":"10.1007\/3-540-63223-9_130"},{"key":"55_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-540-31996-2_15","volume-title":"Evolutionary Computation in Combinatorial Optimization","author":"M.H. Maruo","year":"2005","unstructured":"Maruo, M.H., Lopes, H.S., Delgado, M.R.B.S.: Self-adapting evolutionary parameters: encoding aspects for combinatorial optimization problems. In: Raidl, G.R., Gottlieb, J. (eds.) EvoCOP 2005. LNCS, vol.\u00a03448, pp. 154\u2013165. Springer, Heidelberg (2005)"},{"key":"55_CR14","first-page":"157","volume-title":"Genomics and Proteomics: Functional and Computational Aspects","author":"B. Mirkin","year":"2000","unstructured":"Mirkin, B., Ritter, O.: A Feature-based approach to discrimination and prediction of protein folding groups. In: Suhai, S. (ed.) Genomics and Proteomics: Functional and Computational Aspects, pp. 157\u2013177. Kluwer, Dordrecht (2000)"},{"key":"55_CR15","first-page":"536","volume":"247","author":"A.G. Murzin","year":"1995","unstructured":"Murzin, A.G., Brenner, S.E., Hubbard, T., Chothia, C.: A structural classification of proteins database for the investigation of sequences and structures. Journal of Molecular Biology\u00a0247, 536\u2013540 (1995)","journal-title":"Journal of Molecular Biology"},{"key":"55_CR16","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 Francisco (1993)"},{"key":"55_CR17","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1093\/bioinformatics\/18.2.235","volume":"18","author":"M. Sebban","year":"2002","unstructured":"Sebban, M., Mokrousov, I., Rastogi, N., Sola, C.: A data mining approach to spacer oligonucleotide typing of mycobacterium tuberculosis. Bioinformatics\u00a018, 235\u2013243 (2002)","journal-title":"Bioinformatics"},{"key":"55_CR18","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/s00500-005-0490-z","volume":"10","author":"D.F. Tsunoda","year":"2006","unstructured":"Tsunoda, D.F., Lopes, H.S.: Automatic motif discovery in an enzyme database using a genetic algorithm-based approach. Soft Computing\u00a010, 325\u2013330 (2006)","journal-title":"Soft Computing"},{"key":"55_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/978-3-540-32003-6_11","volume-title":"Applications of Evolutionary Computing","author":"D.F. Tsunoda","year":"2005","unstructured":"Tsunoda, D.F., Lopes, H.S., Freitas, A.A.: An evolutionary approach for motif discovery and transmembrane protein classification. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol.\u00a03449, pp. 105\u2013114. Springer, Heidelberg (2005)"},{"key":"55_CR20","doi-asserted-by":"publisher","first-page":"41","DOI":"10.2165\/00822942-200403010-00006","volume":"3","author":"W.R. Weinert","year":"2004","unstructured":"Weinert, W.R., Lopes, H.S.: Neural networks for protein classification. Applied Bioinformatics\u00a03, 41\u201348 (2004)","journal-title":"Applied Bioinformatics"},{"key":"55_CR21","doi-asserted-by":"crossref","unstructured":"Weiss, G.M.: Learning with rare cases and small disjuncts. In: Proc. of Twelfth International Conference on Machine Learning, pp. 558\u2013565 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50075-X"},{"key":"55_CR22","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 Francisco (2005)","edition":"2"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-04441-0_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,23]],"date-time":"2019-05-23T00:40:15Z","timestamp":1558572015000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-04441-0_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642044403","9783642044410"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-04441-0_55","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}