{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:37:32Z","timestamp":1759333052638,"version":"3.37.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2009,3,1]],"date-time":"2009-03-01T00:00:00Z","timestamp":1235865600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Front. Comput. Sci. China"],"published-print":{"date-parts":[[2009,3]]},"DOI":"10.1007\/s11704-009-0013-7","type":"journal-article","created":{"date-parts":[[2009,2,26]],"date-time":"2009-02-26T13:08:50Z","timestamp":1235653730000},"page":"109-122","source":"Crossref","is-referenced-by-count":8,"title":["Incorporating prior knowledge into learning by dividing training data"],"prefix":"10.1007","volume":"3","author":[{"given":"Baoliang","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masao","family":"Utiyama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2009,3,12]]},"reference":[{"key":"13_CR1","unstructured":"Liu B, Li X L, Lee WS, Yu P S. Text classification by labeling words. AAAI, 2004"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Wu X Y, Srihari R. Incorporating prior knowledge with weighted margin support vector machines. In: Proceedings of International Conference on Knowledge Discovery and Data Mining, 2004, 326\u2013333","DOI":"10.1145\/1014052.1014089"},{"key":"13_CR3","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/TSA.2004.840937","volume":"13","author":"R. E. Schapire","year":"2005","unstructured":"Schapire R E, Rochery M, Rabim M, Gupta N. Boosting with prior knowledge for call classification. IEEE Transactions on Speech and Audio Processing, 2005, 13, 174\u2013181","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Zhu J B, Chen W L. Improving text categorization using domain knowledge In: Proceedings of International Conference on Applications of Natural Language to Information Systems, 2005, 103\u2013113","DOI":"10.1007\/11428817_10"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Dayanik A, Lewis D D, Madigan D, Menkov V, Genkin A. Constructing informative prior distributions from domain knowledge in text classification. In: Proceedings of ACM\u2019s Special Interest Group on Information Retrieval, 2006","DOI":"10.1145\/1148170.1148255"},{"key":"13_CR6","unstructured":"Lu B L, Ito M. Task decomposition based on class relations: a modular neural network architecture for pattern classification. Biological and Artificial Computation: From Neuroscience to Technology. Springer, LNCS, 1997, 1240: 330\u2013339"},{"key":"13_CR7","doi-asserted-by":"crossref","first-page":"1244","DOI":"10.1109\/72.788664","volume":"10","author":"B. L. Lu","year":"1999","unstructured":"Lu B L, Ito M. Task decomposition and module combination based on class relations: A modular neural network for pattern classification. IEEE Transactions on Neural Networks, 1999, 10: 1244\u20131256","journal-title":"IEEE Transactions on Neural Networks"},{"key":"13_CR8","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1109\/72.286891","volume":"4","author":"R. Anand","year":"1993","unstructured":"Anand R, Mehrotra K G, Mohan C K, Ranka S. An improved algorithm for neural network classification of imbalanced training sets. IEEE Transaction on Neural Netwook, 1993, 4: 962\u2013969","journal-title":"IEEE Transaction on Neural Netwook"},{"key":"13_CR9","unstructured":"Lu B L, Wang K A, Utiyama M, Isahara H. A part-versus-part method for massively parallel training of support vector machines. In: Proceedings of International Joint Conference on Neural Networks, 2004, 735\u2013740"},{"issue":"3","key":"13_CR10","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/S0172-2190(02)00026-1","volume":"24","author":"M. Krier","year":"2002","unstructured":"Krier M, Zacc\u00e1 F. Automatic categorization applications at the European patent office. World Patent Information. Elsevier, 2002, 24(3): 187\u2013196","journal-title":"World Patent Information"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Larkey L. Some issues in the automatic classification of US patents. Learning for Text Categorization. Technical Report WS-98-05, 1998, 87\u201390","DOI":"10.1145\/290941.290965"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Larkey L. A patent search and classification system. In: Proceedings of the fourth ACM conference on Digital libraries, 1999, 179\u2013187","DOI":"10.1145\/313238.313304"},{"key":"13_CR13","unstructured":"Mase H, Tsuji H, Kinukawa H, Ishihara M. Automatic patents categorization and its evaluation. Transactions of Information Processing Society of Japan(IPSJ), 1998"},{"key":"13_CR14","unstructured":"Fall C J, Benzineb K. Literature survey: Issues to be considered in the automatic classification of patents. World Intellectual Property Organization, 2002, 29"},{"key":"13_CR15","first-page":"10","volume-title":"Proceedings of ACM\u2019s Special Interest Group on Information Retrieval","author":"C. J. Fall","year":"2003","unstructured":"Fall C J, Torcsv\u00e1ri A, Benzineb K, Karetka G. Automated categorization in the international patent classification. In: Proceedings of ACM\u2019s Special Interest Group on Information Retrieval. New York: ACM Press, 2003, 37: 10\u201325"},{"key":"13_CR16","unstructured":"Fujii A, Iwayama M, Kando N. Test collections for patent retrieval and patent classification in the 5th NTCIR workshop. In: Proceedings of the 5th international conference on language resources and evaluation, 2004, 1643\u20131646"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Fujii A, Iwayama M, Kando N. Introduction to the special issue on patent processing. Information Processing and Management, 2007, 1149\u20131153","DOI":"10.1016\/j.ipm.2006.11.004"},{"key":"13_CR18","unstructured":"Wen Y M, Lu B L, Zhao H. Equal clustering makes min-max modular support vector machine more efficient. In: Proceedings of International Conference on Neural Information Processing, 2005, 77\u201382"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Lian H C, Lu B L, Takikawa E, Hosoi S. Gender recognition using a min-max modular support vector machine. In: Proceedings of International Conference on Natural Computation, 2005, 438\u2013441","DOI":"10.1007\/11539117_64"},{"key":"13_CR20","unstructured":"Yang Y M, Pedersen J O. A comparattive study on feature selection in text categorization. In: Proceedings of International Conference on Machine Learning, 1997, 187\u2013196"},{"key":"13_CR21","doi-asserted-by":"crossref","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, 2002, 34: 1\u201347","journal-title":"ACM Computing Surveys"},{"key":"13_CR22","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1007\/978-3-540-30497-5_134","volume":"3314","author":"H. Zhao","year":"2004","unstructured":"Zhao H, Lu B L. A modular k-nearest neighbor classification method for massively parallel text categorization. In: Proceedings of First International Symposium on Computational and Information Science. Springer, LNCS, 2004, 3314: 867\u2013872","journal-title":"Proceedings of First International Symposium on Computational and Information Science"},{"issue":"7","key":"13_CR23","first-page":"647","volume":"12","author":"K. Wu","year":"2008","unstructured":"Wu K, Lu B L, Uchiyama M, Isahara H. An empirical comparison of min-max-modular k-NN with different voting methods to large-scale text categorization. Soft Computing \u2014 A Fusion of Foundations, Methodologies and Applications, 2008, 12(7): 647\u2013655","journal-title":"Soft Computing \u2014 A Fusion of Foundations, Methodologies and Applications"},{"key":"13_CR24","volume-title":"Advances in Kernel Methods: Support Vector Learning","author":"T. Joachims","year":"1998","unstructured":"Joachims T. Making large-scale support vector machine learning practical. Advances in Kernel Methods: Support Vector Learning. Cambridge: MIT Press, 1998"},{"key":"13_CR25","first-page":"361","volume":"5","author":"D. D. Lewis","year":"2004","unstructured":"Lewis D D, Yang Y, Rose T, Li F. RCV1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 2004, 5: 361\u2013397","journal-title":"Journal of Machine Learning Research"},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"Liu W, Xue G R, Yu Y, Zeng H J. Importance-based web page classification using cost-sensitive SVM. In: Proceedings of International Conference on Web-Age Information Management, 2005, 127\u2013137","DOI":"10.1007\/11563952_12"}],"container-title":["Frontiers of Computer Science in China"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-009-0013-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11704-009-0013-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-009-0013-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T22:38:53Z","timestamp":1738967933000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11704-009-0013-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,3]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,3]]}},"alternative-id":["13"],"URL":"https:\/\/doi.org\/10.1007\/s11704-009-0013-7","relation":{},"ISSN":["1673-7350","1673-7466"],"issn-type":[{"type":"print","value":"1673-7350"},{"type":"electronic","value":"1673-7466"}],"subject":[],"published":{"date-parts":[[2009,3]]}}}