{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:03:20Z","timestamp":1750219400502,"version":"3.41.0"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540278313"},{"type":"electronic","value":"9783540318842"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11527770_67","type":"book-chapter","created":{"date-parts":[[2010,12,22]],"date-time":"2010-12-22T08:42:35Z","timestamp":1293007355000},"page":"504-513","source":"Crossref","is-referenced-by-count":1,"title":["Signature Recognition Methods for Identifying Influenza Sequences"],"prefix":"10.1007","author":[{"given":"Jitimon","family":"Keinduangjun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Punpiti","family":"Piamsa-nga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Poovorawan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"67_CR1","doi-asserted-by":"crossref","unstructured":"Aalbersberg, I.: A Document Retrieval Model Based on Term Frequency Ranks. In: Proceedings of the 7th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 163\u2013172 (1994)","DOI":"10.1007\/978-1-4471-2099-5_17"},{"issue":"1","key":"67_CR2","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1093\/nar\/28.1.15","volume":"28","author":"D.A. Benson","year":"2000","unstructured":"Benson, D.A., Karsch-Mizrachi, I., Lipman, D.J., Ostell, J., Rapp, B.A., Wheeler, D.L.: GenBank. Nucleic Acids Research\u00a028(1), 15\u201318 (2000)","journal-title":"Nucleic Acids Research"},{"issue":"4","key":"67_CR3","first-page":"467","volume":"18","author":"P.F. Brown","year":"1992","unstructured":"Brown, P.F., de Souza, P.V., Della Pietra, V.J., Mercer, R.L.: Class-Based N-Gram Models of Natural Language. Computational Linguistics\u00a018(4), 467\u2013479 (1992)","journal-title":"Computational Linguistics"},{"issue":"2","key":"67_CR4","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1093\/bioinformatics\/14.2.139","volume":"14","author":"N.A. Chuzhanova","year":"1998","unstructured":"Chuzhanova, N.A., Jones, A.J., Margetts, S.: Feature Selection for Genetic Sequence Classification. Bioinformatics Journal\u00a014(2), 139\u2013143 (1998)","journal-title":"Bioinformatics Journal"},{"key":"67_CR5","unstructured":"Joachims, T.: A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. In: Proceedings of the 14th International Conference on Machine Learning, pp. 143\u2013151 (1997)"},{"key":"67_CR6","unstructured":"Keinduangjun, J., Piamsa-nga, P., Poovorawan, Y.: Models for Discovering Signatures in DNA Sequences. In: Proceedings of the 3rd IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, pp. 548\u2013553 (2005)"},{"issue":"1-2","key":"67_CR7","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/S0378-1119(00)00431-5","volume":"259","author":"M. Krauthammer","year":"2000","unstructured":"Krauthammer, M., Rzhetsky, A., Morozov, P., Friedman, C.: Using BLAST for Identifying Gene and Protein Names in Journal Articles. Gene\u00a0259(1-2), 245\u2013252 (2000)","journal-title":"Gene"},{"key":"67_CR8","unstructured":"Mladenic, D., Grobelnik, M.: Feature Selection for Classification Based on Text Hierarchy. In: Working Notes of Learning from Text and the Web. Conference on Automated Learning and Discovery. Carnegie Mellon University, Pittsburgh (1998)"},{"key":"67_CR9","unstructured":"Mladenic, D., Grobelnik, M.: Feature Selection for Unbalanced Class Distribution and Na\u00efve Bayes. In: Proceedings of the 16th International Conference on Machine Learning, pp. 258\u2013267 (1999)"},{"key":"67_CR10","first-page":"365","volume":"25","author":"W.R. Pearson","year":"1994","unstructured":"Pearson, W.R.: Using the FASTA Program to Search Protein and DNA Sequence Databases. Methods Molecular Biology\u00a025, 365\u2013389 (1994)","journal-title":"Methods Molecular Biology"},{"issue":"1","key":"67_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F. Sebastiani","year":"2002","unstructured":"Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys\u00a034(1), 1\u201347 (2002)","journal-title":"ACM Computing Surveys"},{"key":"67_CR12","unstructured":"Spitters, M.: Comparing Feature Sets for Learning Text Categorization. In: Proceedings on RIAO (2000)"},{"issue":"2","key":"67_CR13","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1089\/cmb.1999.6.209","volume":"6","author":"J.T.L. Wang","year":"1999","unstructured":"Wang, J.T.L., Rozen, S., Shapiro, B.A., Shasha, D., Wang, Z., Yin, M.: New Techniques for DNA Sequence Classification. Journal of Computational Biology\u00a06(2), 209\u2013218 (1999)","journal-title":"Journal of Computational Biology"},{"issue":"10","key":"67_CR14","doi-asserted-by":"publisher","first-page":"1544","DOI":"10.1109\/5.537117","volume":"84","author":"Y. Xu","year":"1996","unstructured":"Xu, Y., Mural, R., Einstein, J., Shah, M., Uberbacher, E.: Grail: A Multiagent Neural Network System for Gene Identification. Proceedings of IEEE\u00a084(10), 1544\u20131552 (1996)","journal-title":"Proceedings of IEEE"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/11527770_67","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T08:20:45Z","timestamp":1750148445000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/11527770_67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540278313","9783540318842"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/11527770_67","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}