{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:17:24Z","timestamp":1740172644280,"version":"3.37.3"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2018,6,2]],"date-time":"2018-06-02T00:00:00Z","timestamp":1527897600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vietnam J Comput Sci"],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1007\/s40595-018-0118-8","type":"journal-article","created":{"date-parts":[[2018,6,2]],"date-time":"2018-06-02T02:53:37Z","timestamp":1527908017000},"page":"229-239","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns"],"prefix":"10.1007","volume":"5","author":[{"given":"Fumiya","family":"Tokuhara","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6728-6520","authenticated-orcid":false,"given":"Tetsuhiro","family":"Miyahara","sequence":"additional","affiliation":[]},{"given":"Tetsuji","family":"Kuboyama","sequence":"additional","affiliation":[]},{"given":"Yusuke","family":"Suzuki","sequence":"additional","affiliation":[]},{"given":"Tomoyuki","family":"Uchida","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,2]]},"reference":[{"key":"118_CR1","doi-asserted-by":"crossref","unstructured":"Frohlich, H., Chapelle, O., Scholkopf, B.: Feature selection for support vector machines by means of genetic algorithm. In: Proceedings of IEEE International Conference. Tools with Artificial Intelligence, pp. 142\u2013148 (2003)","DOI":"10.1109\/TAI.2003.1250182"},{"key":"118_CR2","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1109\/LGRS.2014.2337320","volume":"12","author":"P Ghamisi","year":"2015","unstructured":"Ghamisi, P., Benediktsson, J.A.: Feature selection based on hybridization of genetic algorithm and particle swarm optimization view document. IEEE Geosci. Remote Sens. Lett. 12, 309\u2013313 (2015)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"118_CR3","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1007\/s10618-009-0162-1","volume":"21","author":"T Horvath","year":"2010","unstructured":"Horvath, T., Ramon, J., Wrobel, S.: Frequent subgraph mining in outerplanar graphs. Data Min. Knowl. Discov. 21, 472\u2013508 (2010)","journal-title":"Data Min. Knowl. Discov."},{"key":"118_CR4","unstructured":"National Cancer Institute: The NCI Open Database. Release 1 Files (1999)"},{"key":"118_CR5","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.1016\/j.procs.2013.05.405","volume":"18","author":"M Jung","year":"2013","unstructured":"Jung, M., Zscheischler, J.: A guided hybrid genetic algorithm for feature selection with expensive cost functions. Procedia Comput. Sci. 18, 2337\u20132346 (2013)","journal-title":"Procedia Comput. Sci."},{"key":"118_CR6","doi-asserted-by":"crossref","unstructured":"Katagiri, H., Hirasawa, K., Hu, J.: Genetic network programming\u2014application to intelligent agents. In: Proceedings of IEEE SMC 2000, pp. 3829\u20133834 (2000)","DOI":"10.1109\/ICSMC.2000.886607"},{"key":"118_CR7","unstructured":"Kono, T., Suzuki, Y., Uchida, T., Miyahara, T.: Enumerating maximally frequent TTSP graph patterns. In: Proceedings of 7th Workshop on Learning with Logics and Logics for Learning (LLLL), pp. 43\u201350 (2011)"},{"key":"118_CR8","volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection","author":"JR Koza","year":"1992","unstructured":"Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)"},{"key":"118_CR9","doi-asserted-by":"crossref","unstructured":"Majeed, H., Ryan, C.: Using context-aware crossover to improve the performance of GP. In: Proceedings of GECCO 2006, pp. 847\u2013854 (2006)","DOI":"10.1145\/1143997.1144146"},{"issue":"3","key":"118_CR10","doi-asserted-by":"crossref","first-page":"401","DOI":"10.20965\/jaciii.2014.p0401","volume":"18","author":"T Miyahara","year":"2014","unstructured":"Miyahara, T., Kuboyama, T.: Learning of glycan motifs using genetic programming and various fitness functions. J. Adv. Comput. Intell. Intell. Inform. (JACIII) 18(3), 401\u2013408 (2014)","journal-title":"J. Adv. Comput. Intell. Intell. Inform. (JACIII)"},{"key":"118_CR11","doi-asserted-by":"crossref","unstructured":"Nagai, S., Miyahara, T., Suzuki, Y., Uchida, T.: Acquisition of characteristic TTSP graph patterns by genetic programming. In: Proceedings of IIAI AAI 2012, pp. 340\u2013344 (2012)","DOI":"10.1109\/IIAI-AAI.2012.73"},{"key":"118_CR12","doi-asserted-by":"crossref","unstructured":"Nagamine, M., Miyahara, T., Kuboyama, T., Ueda, H., Takahashi, K.: A genetic programming approach to extraction of glycan motifs using tree structured patterns. In: Proceedings of AI-2007, Springer LNAI, vol. 4830, pp. 150\u2013159 (2007)","DOI":"10.1007\/978-3-540-76928-6_17"},{"key":"118_CR13","doi-asserted-by":"crossref","unstructured":"Nakai, S., Miyahara, T., Kuboyama, T., Uchida, T., Suzuki, Y.: Acquisition of characteristic tree patterns with VLDC\u2019s by genetic programming and edit distance. In: Proceedings of IIAI AAI 2013, pp. 147\u2013151 (2013)","DOI":"10.1109\/IIAI-AAI.2013.79"},{"key":"118_CR14","doi-asserted-by":"crossref","unstructured":"Ouchiyama, Y., Miyahara, T., Suzuki, Y., Uchida, T., Kuboyama, T., Tokuhara, F.: Acquisition of characteristic block preserving outerplanar graph patterns from positive and negative data using genetic programming and tree representation of graph patterns. In: Proceedings of IWCIA 2015, pp. 95\u2013101 (2015)","DOI":"10.1109\/IWCIA.2015.7449469"},{"key":"118_CR15","doi-asserted-by":"crossref","unstructured":"Paula, L.C.M., Soares, A.S., Lima, T.W., Coelho, C.J.: Feature selection using genetic algorithm: an analysis of the bias-property for one-point crossover. In: Proceedings of GECCO 2016, pp. 1461\u20131462 (2016)","DOI":"10.1145\/2908961.2931636"},{"key":"118_CR16","volume-title":"A Field Guide to Genetic Programming","author":"R Poli","year":"2008","unstructured":"Poli, R., Langdon, W., McPhee, N.: A Field Guide to Genetic Programming. Lulu Press, Morrisville (2008)"},{"key":"118_CR17","doi-asserted-by":"crossref","unstructured":"Rehman, S.U., Khan, A.U., Fong, S.: Graph mining: a survey of graph mining techniques. In: Proceedings of ICDIM 2012, pp. 88\u201392 (2012)","DOI":"10.1109\/ICDIM.2012.6360146"},{"key":"118_CR18","doi-asserted-by":"crossref","unstructured":"Sasaki,Y., Yamasaki, H., Shoudai, T., Uchida, T.: Mining of frequent block preserving outerplanar graph structured patterns. In: Proceedings of ILP 2007, Springer LNAI, vol. 4894, pp. 239\u2013253 (2008)","DOI":"10.1007\/978-3-540-78469-2_24"},{"key":"118_CR19","doi-asserted-by":"crossref","unstructured":"Shin, K., Kuboyama, T., Hashimoto, T., Shepard, D.: Super-CWC and super-LCC: super fast feature selection. In: Proceedings of IEEE Big Data 2015, pp. 61\u201367 (2015)","DOI":"10.1109\/BigData.2015.7363742"},{"key":"118_CR20","doi-asserted-by":"crossref","unstructured":"Shirakawa, S., Ogino, S., Nagao, T.: Graph structured program evolution. In: Proceedings of GECCO 2007, pp. 1686\u20131693 (2007)","DOI":"10.1145\/1276958.1277290"},{"issue":"2","key":"118_CR21","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1587\/transinf.E92.D.181","volume":"E92\u2013D","author":"R Takami","year":"2009","unstructured":"Takami, R., Suzuki, Y., Uchida, T., Shoudai, T.: Polynomial time inductive inference of TTSP graph languages from positive data. IEICE Trans. Inf. Syst. E92\u2013D(2), 181\u2013190 (2009)","journal-title":"IEICE Trans. Inf. Syst."},{"key":"118_CR22","doi-asserted-by":"crossref","unstructured":"Tokuhara, F., Miyahara, T., Kuboyama,T., Suzuki, Y., Uchida, T.: A context-aware fitness function based on feature selection for evolutionary learning of characteristic graph patterns. In: Proceedings of ACIIDS 2017, Springr LNAI, vol. 10191, pp. 748\u2013757 (2017)","DOI":"10.1007\/978-3-319-54472-4_70"},{"key":"118_CR23","doi-asserted-by":"crossref","unstructured":"Tokuhara, F., Miyahara, T., Suzuki, Y., Uchida, T., Kuboyama, T.: Acquisition of characteristic block preserving outerplanar graph patterns by genetic programming using label information. In: Proceedings of IIAI AAI 2016, pp. 203\u2013210 (2016)","DOI":"10.1109\/IIAI-AAI.2016.212"},{"key":"118_CR24","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10994-009-5115-9","volume":"76","author":"H Yamasaki","year":"2009","unstructured":"Yamasaki, H., Sasaki, Y., Shoudai, T., Uchida, T., Suzuki, Y.: Learning block-preserving graph patterns and its application to data mining. Mach. Learn. 76, 137\u2013173 (2009)","journal-title":"Mach. Learn."},{"key":"118_CR25","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/5254.671091","volume":"13","author":"J Yang","year":"1998","unstructured":"Yang, J., Honavar, V.: Feature subset selection using a genetic algorithm. IEEE Intell. Syst. Appl. 13, 44\u201349 (1998)","journal-title":"IEEE Intell. Syst. Appl."},{"key":"118_CR26","unstructured":"Zhao, Z., Liu, H.: Searching for interacting features. In: Proceedings of IJCAI 2007, pp. 1156\u20131161 (2007)"}],"container-title":["Vietnam Journal of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s40595-018-0118-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40595-018-0118-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40595-018-0118-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T18:34:36Z","timestamp":1535567676000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s40595-018-0118-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,2]]},"references-count":26,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2018,9]]}},"alternative-id":["118"],"URL":"https:\/\/doi.org\/10.1007\/s40595-018-0118-8","relation":{},"ISSN":["2196-8888","2196-8896"],"issn-type":[{"type":"print","value":"2196-8888"},{"type":"electronic","value":"2196-8896"}],"subject":[],"published":{"date-parts":[[2018,6,2]]}}}