{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T00:36:38Z","timestamp":1725496598430},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540402107"},{"type":"electronic","value":"9783540448686"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003]]},"DOI":"10.1007\/3-540-44868-3_34","type":"book-chapter","created":{"date-parts":[[2007,11,29]],"date-time":"2007-11-29T14:49:24Z","timestamp":1196347764000},"page":"262-269","source":"Crossref","is-referenced-by-count":0,"title":["Text Categorisation Using a Partial-Matching Strategy"],"prefix":"10.1007","author":[{"given":"J.","family":"Ranilla","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I.","family":"D\u00edaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2003,6,18]]},"reference":[{"key":"34_CR1","unstructured":"D. W. Aha. A Study of Instance-based Algorithms for Supervised Learning Tasks: Mathematical, Empirical, and Psychological Evaluations. PhD thesis, University of California at Irvine, 1990."},{"issue":"3","key":"34_CR2","first-page":"233","volume":"12","author":"C. Apte","year":"1994","unstructured":"C. Apte, F. Damerau, and S. Weiss. Automated learning of decision rules for text categorization. Information Systems, 12(3):233\u2013251, 1994.","journal-title":"Information Systems"},{"key":"34_CR3","unstructured":"L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees. Wadsworth International Group, Belmont, CA, 1984."},{"issue":"4","key":"34_CR4","first-page":"261","volume":"3","author":"P. Clark","year":"1989","unstructured":"P. Clark and T. Niblett. The cn2 induction algorithm. Machine Learning, 3(4):261\u2013283, 1989.","journal-title":"Machine Learning"},{"key":"34_CR5","unstructured":"T. Dietterich, M. Kearns, and Y. Mansour. Applying the weak learning frame-work to understand and improve c4.5. In Proc. 13th International Conference on Machine Learning, pages 96\u2013104. Morgan Kaufmann, 1996."},{"key":"34_CR6","first-page":"141","volume":"24","author":"P. Domingos","year":"1996","unstructured":"P. Domingos. Unifying instance-based and rule-based induction. Machine Learning, 24:141\u2013168, 1996.","journal-title":"Machine Learning"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"J. F\u00fcrnkranz and G. Widmer. Incremental reduced error pruning. In International Conference on Machine Learning, pages 70\u201377, 1994.","DOI":"10.1016\/B978-1-55860-335-6.50017-9"},{"key":"34_CR8","unstructured":"D. D. Lewis and M. Ringuette. A comparison of two learning algorithms for text categorization. In Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval, pages 81\u201393, Las Vegas, US, 1994."},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"O. Luaces, J. Alonso, E. de la Cal, J. Ranilla, and A. Bahamonde. Machine learning usefulness relies on accuracy and self-maintenance. In Springer-Verlag, editor, Lecture Notes in Artificial Intelligence. Proc. of the 11 th IEA & AIE, volume 1416, pages 448\u2013457, 1998.","DOI":"10.1007\/3-540-64574-8_430"},{"key":"34_CR10","unstructured":"E. Monta\u00f1\u00e9s, J. Fern\u00e1ndez, I. D\u00edaz, E. F. Combarro, and J. Ranilla. Text categorisation with support vector machines and feature reduction. In Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA2003, 2003."},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"J. R. Quinlan. Constructing decision tree in c4.5. In Programs of Machine Learning, pages 17\u201326. Morgan Kaufman, 1993.","DOI":"10.1016\/B978-0-08-050058-4.50007-3"},{"issue":"4","key":"34_CR12","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1006\/ijhc.2002.1002","volume":"56","author":"J. Ranilla","year":"2002","unstructured":"J. Ranilla and A. Bahamonde. Fan: Finding accurate inductions. International Journal of Human Computer Studies, 56(4):445\u2013474, 2002.","journal-title":"International Journal of Human Computer Studies"},{"key":"34_CR13","unstructured":"J. Ranilla, O. Luaces, and A. Bahamonde. A heuristic for learning decision trees and pruning them into classification rules. AICom (Artificial Intelligence Communication), 16(2):in press, 2003."},{"key":"34_CR14","unstructured":"Reuters. Reuters collection. http:\/\/www.research.attp.com\/lewis\/reuters21578.html ."},{"key":"34_CR15","unstructured":"G. Salton and M. J. McGill. An introduction to modern information retrieval. McGraw-Hill, 1983."},{"key":"34_CR16","doi-asserted-by":"crossref","unstructured":"F. Sebastiani. Machine learning in automated text categorisation. ACM Computing Survey, 34(1), 2002.","DOI":"10.1145\/505282.505283"},{"key":"34_CR17","unstructured":"M. R. Spiegel. Estad\u00edstica. McGraw-Hill, 1970."},{"key":"34_CR18","doi-asserted-by":"crossref","unstructured":"L. Todorovski, P. Flach, and N. Lavra\u010d. Predictive performance of weighted relative accuracy. In 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000), pages 255\u2013264. Springer-Verlag, 2000.","DOI":"10.1007\/3-540-45372-5_25"},{"key":"34_CR19","unstructured":"C. J. Van-Rijsbergen. Information retrieval. Butterworths, 2 edition, 1979."},{"issue":"1","key":"34_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1613\/jair.346","volume":"6","author":"D. R. Wilson","year":"1997","unstructured":"D. R. Wilson and T. R. Mart\u00ednez. Improved heterogeneous distance functions. Journal of Artificial Intelligence Research, 6(1):1\u201334, 1997.","journal-title":"Journal of Artificial Intelligence Research"},{"key":"34_CR21","unstructured":"T. Yang and J. P. Pedersen. Feature selection in statistical learning of text categorization. In Proceedings of the 14th Int. Conf. on Machine Learning, pages 412\u2013420, 1997."}],"container-title":["Lecture Notes in Computer Science","Computational Methods in Neural Modeling"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44868-3_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,5]],"date-time":"2019-05-05T05:01:11Z","timestamp":1557032471000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44868-3_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003]]},"ISBN":["9783540402107","9783540448686"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/3-540-44868-3_34","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2003]]}}}