{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:19:30Z","timestamp":1725517170251},"publisher-location":"Boston, MA","reference-count":15,"publisher":"Springer US","isbn-type":[{"type":"print","value":"9780387096940"},{"type":"electronic","value":"9780387096957"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-0-387-09695-7_10","type":"book-chapter","created":{"date-parts":[[2008,8,19]],"date-time":"2008-08-19T13:40:02Z","timestamp":1219153202000},"page":"97-106","source":"Crossref","is-referenced-by-count":1,"title":["A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization"],"prefix":"10.1007","author":[{"given":"Houda","family":"Benbrahim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Bramer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"10_CR1_Ref","unstructured":"Liere, R. and P. Tadepalli (1996). \u201cThe use of active learning in text categorization.\u201d Proceedings of the AAAI Symposium on Machine Learning in Information Access."},{"key":"10_CR2_Ref","doi-asserted-by":"crossref","unstructured":"Lewis, D. D. (1992). \u201cFeature selection and feature extraction for text categorization.\u201d Proceedings of the workshop on Speech and Natural Language: 212-217.","DOI":"10.3115\/1075527.1075574"},{"key":"10_CR3_Ref","unstructured":"Vapnik, V. N. (1998). Statistical learning theory, Wiley New York."},{"key":"10_CR4_Ref","unstructured":"Joachims, T. (1999). \u201cTransductive inference for text classification using support vector machines.\u201d Proceedings of the Sixteenth International Conference on Machine Learning: 200-209."},{"key":"10_CR5_Ref","first-page":"368","volume":"11","author":"K. Bennett","year":"1998","unstructured":"Bennett, K. and A. Demiriz (1998). \u201cSemi-supervised support vector machines.\u201d Advances in Neural Information Processing Systems 11: 368-374.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10_CR6_Ref","volume-title":"(Technical Report 99-05)","author":"G. Fung","year":"1999","unstructured":"Fung, G. and O. Mangasarian (1999). \u201csemi-supervised support vector machines for unlabeled data classification.\u201d (Technical Report 99-05). Data mining Institute, University of Wisconsin at Madison, Madison, WI."},{"key":"10_CR7_Ref","unstructured":"Zhang, X. (1999). \u201cUsing class-center vectors to build support vector machines.\u201d Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop: 3-11."},{"issue":"14","key":"10_CR8_Ref","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.1016\/S0167-8655(03)00093-X","volume":"24","author":"L. J. Cao","year":"2003","unstructured":"Cao, L. J., H. P. Lee, et al. (2003). \u201cModified support vector novelty detector using training data with outliers.\u201d Pattern Recognition Letters 24(14): 2479-2487.","journal-title":"Pattern Recognition Letters"},{"issue":"2","key":"10_CR9_Ref","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1109\/72.991432","volume":"13","author":"C. F. Lin","year":"2002","unstructured":"Lin, C. F. and S. D. Wang (2002). \u201cFuzzy support vector machines.\u201d IEEE Transactions on Neural Networks 13(2): 464-471.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"10_CR10_Ref","unstructured":"Sheng-de Wang, C. L. (2003). \u201cTraining algorithms for fuzzy support vector machines with noisy data.\u201d Neural Networks for Signal Processing, 2003. NNSP'03. 2003 IEEE 13th Workshop on: 517-526."},{"key":"10_CR11_Ref","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern Recognition with Fuzzy Objective Function Algorithms","author":"J. C. Bezdek","year":"1981","unstructured":"Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms, Kluwer Academic Publishers Norwell, MA, USA."},{"issue":"5","key":"10_CR12_Ref","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1016\/0031-3203(95)00120-4","volume":"29","author":"A. M. Bensaid","year":"1996","unstructured":"Bensaid, A. M., L. O. Hall, et al. (1996). \u201cPartially supervised clustering for image segmentation.\u201d Pattern Recognition 29(5), 859-871.","journal-title":"Pattern Recognition"},{"key":"10_CR13_Ref","unstructured":"Guyon, I., N. Matic, et al. (1996). \u201cDiscovering informative patterns and data cleaning.\u201d Advances in knowledge discovery and data mining table of contents: 181-203."},{"key":"10_CR14_Ref","first-page":"881","volume":"87","author":"M. P. Sinka","year":"2002","unstructured":"Sinka, M. P. and D. W. Corne (2002). \u201cA large benchmark dataset for web document clustering.\u201d Soft Computing Systems: Design, Management and Applications 87: 881-890","journal-title":"Soft Computing Systems: Design, Management and Applications"},{"key":"10_CR15_Ref","unstructured":"Benbrahim, H. and M. Bramer (2004). \u201cNeighbourhood Exploitation in Hypertext Categorization.\u201d In Proceedings of the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, December 2004, pp. 258-268. ISBN 1-85233-907-1"}],"container-title":["IFIP \u2013 The International Federation for Information Processing","Artificial Intelligence in Theory and Practice II"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-0-387-09695-7_10.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T01:45:13Z","timestamp":1619574313000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-0-387-09695-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9780387096940","9780387096957"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-0-387-09695-7_10","relation":{},"ISSN":["1571-5736"],"issn-type":[{"type":"print","value":"1571-5736"}],"subject":[]}}