{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:45:31Z","timestamp":1777567531200,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540278726","type":"print"},{"value":"9783540318828","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11527862_24","type":"book-chapter","created":{"date-parts":[[2010,7,20]],"date-time":"2010-07-20T15:48:01Z","timestamp":1279640881000},"page":"313-320","source":"Crossref","is-referenced-by-count":53,"title":["Learning Classifiers Using Hierarchically Structured Class Taxonomies"],"prefix":"10.1007","author":[{"given":"Feihong","family":"Wu","sequence":"first","affiliation":[]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Vasant","family":"Honavar","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"24_CR1","unstructured":"McCallum, A.: Multi label text classification with a mixture model trained by EM. In: AAAI 1999 Workshop on Text Learning (1999)"},{"key":"24_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/BFb0026683","volume-title":"Machine Learning: ECML-98","author":"T. Joachims","year":"1998","unstructured":"Joachims, T.: Text categorization with Support Vector Machines: Learning with many relevant features. In: N\u00e9dellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol.\u00a01398, pp. 137\u2013142. Springer, Heidelberg (1998)"},{"key":"24_CR3","unstructured":"Shen, X., Boutell, M., Luo, J., Brown, C.: Multi label Machine learning and its application to semantic scene classification. In: Proceedings of the 2004 International Symposium on Electronic Imaging (EI 2004), January 18-22 (2004)"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Kriegel, H.-P., Kroeger, P., Pryakhin, A., Schubert, M.: Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. In: Proc. 4th SIAM Int. Conf. on Data Mining, pp. 102\u2013114 (2004)","DOI":"10.1137\/1.9781611972740.10"},{"key":"24_CR5","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1007\/3-540-44794-6_4","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"A. Clare","year":"2001","unstructured":"Clare, A., King, R.D.: Knowledge Discovery in Multi label Phenotype Data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), vol.\u00a02168, pp. 42\u201353. Springer, Heidelberg (2001)"},{"key":"24_CR6","unstructured":"Blockeel, H., Bruynooghe, M., Dzeroski, S., Ramon, J., Struyf, J.: Hierarchical Multi-Classification. In: Proceedings of the First SIGKDD Workshop on Multi-Relational Data Mining (MRDM 2002), July 2002, pp. 21\u201335 (2002)"},{"key":"24_CR7","unstructured":"Wang, K., Zhou, S., Liew, S.C.: Building hierarchical classifiers using class proximity. Technical Report, National University of Singapore (1999)"},{"key":"24_CR8","unstructured":"The Reuters-21578, Distribution 1.0 test collection is available from, \n                    \n                      http:\/\/www.daviddlewis.com\/resources\/testcollections\/reuters21578"}],"container-title":["Lecture Notes in Computer Science","Abstraction, Reformulation and Approximation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11527862_24.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T02:49:03Z","timestamp":1619491743000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11527862_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540278726","9783540318828"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/11527862_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005]]}}}