{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:08:09Z","timestamp":1765231689637},"reference-count":30,"publisher":"Informa UK Limited","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Artificial Intelligence"],"published-print":{"date-parts":[[2007,3,13]]},"DOI":"10.1080\/08839510601170887","type":"journal-article","created":{"date-parts":[[2007,3,30]],"date-time":"2007-03-30T03:10:02Z","timestamp":1175224202000},"page":"211-239","source":"Crossref","is-referenced-by-count":23,"title":["COMBINING MULTIPLE CLASSIFIERS USING DEMPSTER'S RULE FOR TEXT CATEGORIZATION"],"prefix":"10.1080","volume":"21","author":[{"given":"Yaxin","family":"Bi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Bell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gongde","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiwen","family":"Guan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","reference":[{"key":"CIT0001","unstructured":"Barnett , J. A. 1981 . Computational methods for a mathematical theory of evidence . InProceedings of the Seventh Joint Conference of Artificial Intelligence, pages 868 \u2013 875 , Vancouver , Canada ."},{"key":"CIT0002","doi-asserted-by":"publisher","DOI":"10.1023\/B:INRT.0000048491.59134.94"},{"key":"CIT0003","volume-title":"Combining Multiple Classifiers for Text Categorization using Dempter-Shafer Theory of Evidence","author":"Bi Y.","year":"2004"},{"key":"CIT0004","doi-asserted-by":"crossref","unstructured":"Boser , B. E.,I. M. Guyon, andV. Vapnik.1992.A training algorithm for optimal margin classifiers. InProceedings of the Fifth Annual Workshop on Computational Learning Theory, pp.144\u2013152, Pittsburgh, ACM.","DOI":"10.1145\/130385.130401"},{"key":"CIT0005","volume-title":"LIBSVM: A Library for Support Vector Machines","author":"Chang C. C.","year":"2001"},{"key":"CIT0006","first-page":"273","volume":"20","author":"Cortes C.","year":"1995","journal-title":"Machine Learning"},{"key":"CIT0007","doi-asserted-by":"publisher","DOI":"10.1109\/3468.833094"},{"key":"CIT0008","doi-asserted-by":"crossref","unstructured":"Dumais , S. , J. Platt , D. Heckerman , and M. Sahami. 1998 . Inductive learning algorithms and representations for text categorization . InProceedings of the Seventh International Conference on Information and Knowledge Management (CIKM'98)pp. 148 \u2013 155 , Bethesda , Maryland .","DOI":"10.1145\/288627.288651"},{"key":"CIT0009","volume-title":"Evidence Theoryits Applications","author":"Guan J. W.","year":"1991"},{"key":"CIT0010","doi-asserted-by":"crossref","unstructured":"Guo , G. , H. Wang , D. Bell , Y. Bi , and K. Greer. 2003 . kNN model-based approach in classification . InProceedings of the Cooperative Information Systems (CoopIS) International Conference, pages 986 \u2013 996 . Lecture Notes in Computer Science . Springer , Sicily , Italy .","DOI":"10.1007\/978-3-540-39964-3_62"},{"key":"CIT0011","doi-asserted-by":"publisher","DOI":"10.1142\/9789812778147_0007"},{"key":"CIT0012","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.1000139"},{"key":"CIT0013","first-page":"301","volume-title":"Symposium on Document Analysis and Information Retrieval","author":"Ittner D.","year":"1995"},{"key":"CIT0014","unstructured":"Joachims , T. 1997 . A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization . InProceedings of the Fourteen International Conference on Machine Learning (ICML'97). pp. 143 \u2013 151 , Morgan Kaufmann , Nashville , TN."},{"key":"CIT0015","doi-asserted-by":"crossref","unstructured":"Joachims , T. 1998 . Text categorization with support vector machines Learning with many relevant features . InProceedings of the European Conference on Machine Learning. pp. 137 \u2013 142 , Lecture Notes in Computer Science , Springer, Chemnitz , Germany .","DOI":"10.1007\/BFb0026683"},{"key":"CIT0016","doi-asserted-by":"publisher","DOI":"10.1109\/34.667881"},{"key":"CIT0017","volume-title":"Sensor and Data Fusion Concepts and Applications,","author":"Klein L. A.","year":"1999","edition":"2"},{"key":"CIT0018","doi-asserted-by":"publisher","DOI":"10.1142\/9789812386533_0015"},{"key":"CIT0019","doi-asserted-by":"crossref","unstructured":"Larkey , L. S. and W. B. Croft. 1996 . Combining classifiers in text categorization . InProceedings of the 19th ACM International Conference on Research and Development in Information Retrieval (SIGIR 96), pages 289 \u2013 297 , Zurich , Switzerland .","DOI":"10.1145\/243199.243276"},{"key":"CIT0020","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/41.8.537"},{"key":"CIT0021","volume-title":"Machine Learning","author":"Mitchell T.","year":"1997"},{"key":"CIT0022","first-page":"313","volume-title":"The Smart Retrieval System Experiments in Automatic Document Processing","author":"Rocchio J.","year":"1971"},{"key":"CIT0023","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"CIT0024","doi-asserted-by":"crossref","DOI":"10.1515\/9780691214696","volume-title":"A Mathematical Theory of Evidence","author":"Shafer G.","year":"1976"},{"key":"CIT0025","volume-title":"On Reasoning with Uncertainty and Belief Change","author":"Shi S.","year":"1995"},{"key":"CIT0026","volume-title":"Information Retrieval,","author":"van Rijsbergen C. J.","year":"1979","edition":"2"},{"key":"CIT0027","doi-asserted-by":"publisher","DOI":"10.1109\/21.155943"},{"key":"CIT0028","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1023\/A:1009982220290","volume":"1","author":"Yang Y.","year":"1999","journal-title":"Journal of Information Retrieval"},{"key":"CIT0029","doi-asserted-by":"crossref","unstructured":"Yang , Y. and X. Liu. 1999 . A re-examination of text categorization methods . InProceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'99), pages 42 \u2013 49 , Berkeley , CA .","DOI":"10.1145\/312624.312647"},{"key":"CIT0030","unstructured":"yang , y. , t. ault , and t. pierce. 2000 . Combining multiple learning strategies for effective cross validation . InProceedings of the Seventeenth International Conference on Machine Learning (ICML'00), pages 1167 \u2013 1182 . Stanford University , CA ."}],"container-title":["Applied Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/08839510601170887","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T22:33:54Z","timestamp":1628721234000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/08839510601170887"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,3,13]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2007,3,13]]}},"alternative-id":["10.1080\/08839510601170887"],"URL":"https:\/\/doi.org\/10.1080\/08839510601170887","relation":{},"ISSN":["0883-9514","1087-6545"],"issn-type":[{"value":"0883-9514","type":"print"},{"value":"1087-6545","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,3,13]]}}}