{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:22:50Z","timestamp":1742941370248,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642356469"},{"type":"electronic","value":"9783642356476"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"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":[[2013]]},"DOI":"10.1007\/978-3-642-35647-6_22","type":"book-chapter","created":{"date-parts":[[2013,1,11]],"date-time":"2013-01-11T06:28:44Z","timestamp":1357885724000},"page":"343-363","source":"Crossref","is-referenced-by-count":5,"title":["Hierarchical, Multi-label Classification of Scholarly Publications: Modifications of ML-KNN Algorithm"],"prefix":"10.1007","author":[{"given":"Micha\u0142","family":"\u0141ukasik","sequence":"first","affiliation":[]},{"given":"Tomasz","family":"Ku\u015bmierczyk","sequence":"additional","affiliation":[]},{"given":"\u0141ukasz","family":"Bolikowski","sequence":"additional","affiliation":[]},{"given":"Hung Son","family":"Nguyen","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"1","key":"22_CR1","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":"22_CR2","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1145\/1557019.1557156","volume-title":"Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009","author":"P. Melville","year":"2009","unstructured":"Melville, P., Gryc, W., Lawrence, R.D.: Sentiment analysis of blogs by combining lexical knowledge with text classification. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009, pp. 1275\u20131284. ACM, New York (2009)"},{"issue":"3","key":"22_CR3","first-page":"1","volume":"3","author":"G. Tsoumakas","year":"2007","unstructured":"Tsoumakas, G., Katakis, I.: Multi-label classification: An overview. IJDWM\u00a03(3), 1\u201313 (2007)","journal-title":"IJDWM"},{"key":"22_CR4","unstructured":"Costa, E., Lorena, A., Carvalho, A., Freitas, A.: A review of performance evaluation measures for hierarchical classifiers. In: Drummond, C., Elazmeh, W., Japkowicz, N., Macskassy, S. (eds.): Evaluation Methods for Machine Learning II: Papers from the AAAI-2007 Workshop, AAAI Technical Report WS-07-05, pp. 1\u20136. AAAI Press (July 2007)"},{"key":"22_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1007\/978-3-642-04174-7_17","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"J. Read","year":"2009","unstructured":"Read, J., Pfahringer, B., Holmes, G., Frank, E.: Classifier Chains for Multi-label Classification. In: Buntine, W., Grobelnik, M., Mladeni\u0107, D., Shawe-Taylor, J. (eds.) ECML PKDD 2009, Part II. LNCS, vol.\u00a05782, pp. 254\u2013269. Springer, Heidelberg (2009)"},{"key":"22_CR6","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1145\/1835804.1835930","volume-title":"Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2010","author":"M.L. Zhang","year":"2010","unstructured":"Zhang, M.L., Zhang, K.: Multi-label learning by exploiting label dependency. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2010, pp. 999\u20131008. ACM, New York (2010)"},{"key":"22_CR7","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.J. Clare","year":"2001","unstructured":"Clare, A.J., 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":"22_CR8","unstructured":"Zhu, J., Rosset, S., Zou, H., Hastie, T.: Multi-class adaboost. Technical report (2005)"},{"issue":"7","key":"22_CR9","doi-asserted-by":"publisher","first-page":"2038","DOI":"10.1016\/j.patcog.2006.12.019","volume":"40","author":"M.L. Zhang","year":"2007","unstructured":"Zhang, M.L., Zhou, Z.H.: Ml-knn: A lazy learning approach to multi-label learning. Pattern Recognition\u00a040(7), 2038\u20132048 (2007)","journal-title":"Pattern Recognition"},{"key":"22_CR10","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s10618-010-0175-9","volume":"22","author":"C. Silla","year":"2011","unstructured":"Silla, C., Freitas, A.: A survey of hierarchical classification across different application domains. Data Mining and Knowledge Discovery\u00a022, 31\u201372 (2011), 10.1007\/s10618-010-0175-9","journal-title":"Data Mining and Knowledge Discovery"},{"key":"22_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/11766247_34","volume-title":"Advances in Artificial Intelligence","author":"S. Kiritchenko","year":"2006","unstructured":"Kiritchenko, S., Matwin, S., Nock, R., Famili, A.F.: Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. In: Lamontagne, L., Marchand, M. (eds.) Canadian AI 2006. LNCS (LNAI), vol.\u00a04013, pp. 395\u2013406. Springer, Heidelberg (2006)"},{"key":"22_CR12","volume-title":"Introduction to Information Retrieval.","author":"C.D. Manning","year":"2009","unstructured":"Manning, C.D., Raghavan, P., Schtze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2009)"},{"key":"22_CR13","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":"22_CR14","doi-asserted-by":"crossref","unstructured":"Sylwestrzak, W., Rosiek, T., Bolikowski, L.: YADDA2 \u2013 Assemble Your Own Digital Library Application from Lego Bricks. In: Proceedings of the 2012 ACM\/IEEE Joint Conference on Digital Libraries (2012)","DOI":"10.1145\/2232817.2232920"}],"container-title":["Studies in Computational Intelligence","Intelligent Tools for Building a Scientific Information Platform"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-35647-6_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,19]],"date-time":"2023-02-19T09:14:40Z","timestamp":1676798080000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-35647-6_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642356469","9783642356476"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-35647-6_22","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2013]]}}}