{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T07:52:25Z","timestamp":1770537145920,"version":"3.49.0"},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540881919","type":"print"},{"value":"9783540881926","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-88192-6_15","type":"book-chapter","created":{"date-parts":[[2008,9,29]],"date-time":"2008-09-29T08:05:59Z","timestamp":1222675559000},"page":"147-157","source":"Crossref","is-referenced-by-count":25,"title":["Speed Up SVM Algorithm for Massive Classification Tasks"],"prefix":"10.1007","author":[{"given":"Thanh-Nghi","family":"Do","sequence":"first","affiliation":[]},{"given":"Van-Hoa","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Fran\u00e7ois","family":"Poulet","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"15_CR1","unstructured":"Asuncion, A., Newman, D.J.: UCI Repository of Machine Learning Databases, http:\/\/archive.ics.uci.edu\/ml\/"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Boser, B., Guyon, I., Vapnik, V.: A Training Algorithm for Optimal Margin Classifiers. In: Proc. of 5th ACM Annual Workshop on Computational Learning Theory, Pittsburgh, Pennsylvania, pp. 144\u2013152 (1992)","DOI":"10.1145\/130385.130401"},{"key":"15_CR3","first-page":"409","volume-title":"Advances in Neural Information Processing Systems","author":"G. Cauwenberghs","year":"2001","unstructured":"Cauwenberghs, G., Poggio, T.: Incremental and Decremental Support Vector Machine Learning. In: Advances in Neural Information Processing Systems, vol.\u00a013, pp. 409\u2013415. MIT Press, Cambridge (2001)"},{"key":"15_CR4","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM \u2013 A Library for Support Vector Machines (2003), http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm\/"},{"key":"15_CR5","unstructured":"Delve, Data for evaluating learning in valid experiments (1996), http:\/\/www.cs.toronto.edu\/~delve"},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1109\/ICMLA.2007.57","volume-title":"Proc. of ICMLA 2007, 6th International Conference on Machine Learning and Applications","author":"T.-N. Do","year":"2007","unstructured":"Do, T.-N., Fekete, J.-D.: Large Scale Classification with Support Vector Machine Algorithms. In: Proc. of ICMLA 2007, 6th International Conference on Machine Learning and Applications, pp. 7\u201312. IEEE Press, Ohio (2007)"},{"key":"15_CR7","unstructured":"Do, T.-N., Poulet, F.: Classifying one Billion Data with a New Distributed SVM Algorithm. In: Proc. of RIVF 2006, 4th IEEE International Conference on Computer Science, Research, Innovation and Vision for the Future, Ho Chi Minh, Vietnam, Vietnam, pp. 59\u201366 (2006)"},{"issue":"4","key":"15_CR8","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1198\/1061860032544","volume":"12","author":"P. Domingos","year":"2003","unstructured":"Domingos, P., Hulten, G.: A General Framework for Mining Massive Data Streams. Journal of Computational and Graphical Statistics\u00a012(4), 945\u2013949 (2003)","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"15_CR9","first-page":"162","volume-title":"Proc. of Supercomputing 1993","author":"J. Dongarra","year":"1993","unstructured":"Dongarra, J., Pozo, R., Walker, D.: LAPACK++: a design overview of object-oriented extensions for high performance linear algebra. In: Proc. of Supercomputing 1993, pp. 162\u2013171. IEEE Press, Los Alamitos (1993)"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Fayyad, U., Piatetsky-Shapiro, G., Uthurusamy, R.: Summary from the KDD-03 Panel \u2013 Data Mining: The Next 10 Years. In: SIGKDD Explorations, vol.\u00a05(2), pp. 191\u2013196 (2004)","DOI":"10.1145\/980972.981004"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Fung, G., Mangasarian, O.: Incremental Support Vector Machine Classification. In: Proc. of the 2nd SIAM Int. Conf. on Data Mining SDM 2002 Arlington, Virginia, USA (2002)","DOI":"10.1137\/1.9781611972726.15"},{"key":"15_CR12","unstructured":"Guyon, I.: Web Page on SVM Applications (1999), http:\/\/www.clopinet.com\/isabelle\/Projects\/SVM\/app-list.html"},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Joachims, T.: Training Linear SVMs in Linear Time. In: Proc. of the ACM SIGKDD Intl Conf. on KDD, pp. 217\u2013226 (2006)","DOI":"10.1145\/1150402.1150429"},{"key":"15_CR14","unstructured":"Mangasarian, O.: A Finite Newton Method for Classification Problems. Data Mining Institute Technical Report 01-11, Computer Sciences Department, University of Wisconsin (2001)"},{"key":"15_CR15","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1162\/15324430152748218","volume":"1","author":"O. Mangasarian","year":"2001","unstructured":"Mangasarian, O., Musicant, D.: Lagrangian Support Vector Machines. Journal of Machine Learning Research\u00a01, 161\u2013177 (2001)","journal-title":"Journal of Machine Learning Research"},{"key":"15_CR16","unstructured":"NVIDIA\u00ae CUDATM, CUDA Programming Guide 1.1 (2007)"},{"key":"15_CR17","unstructured":"NVIDIA\u00ae CUDATM, CUDA CUBLAS Library 1.1 (2007)"},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Platt, J.: Fast Training of Support Vector Machines Using Sequential Minimal Optimization. In: Schoelkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods \u2013 Support Vector Learning, pp. 185\u2013208 (1999)","DOI":"10.7551\/mitpress\/1130.003.0016"},{"key":"15_CR19","first-page":"177","volume-title":"Enterprise Information Systems V","author":"F. Poulet","year":"2004","unstructured":"Poulet, F., Do, T.-N.: Mining Very Large Datasets with Support Vector Machine Algorithms. In: Camp, O., Filipe, J., Hammoudi, S. (eds.) Enterprise Information Systems V, pp. 177\u2013184. Kluwer Academic Publishers, Dordrecht (2004)"},{"issue":"3","key":"15_CR20","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J. Suykens","year":"1999","unstructured":"Suykens, J., Vandewalle, J.: Least Squares Support Vector Machines Classifiers. Neural Processing Letters\u00a09(3), 293\u2013300 (1999)","journal-title":"Neural Processing Letters"},{"key":"15_CR21","doi-asserted-by":"crossref","unstructured":"Syed, N., Liu, H., Sung, K.: Incremental Learning with Support Vector Machines. In: Proc. of the 6th ACM SIGKDD Int. Conf. on KDD 1999, San Diego, USA (1999)","DOI":"10.1145\/312129.312267"},{"key":"15_CR22","unstructured":"Tong, S., Koller, D.: Support Vector Machine Active Learning with Applications to Text Classification. In: Proc. of ICML 2000, the 17th Int. Conf. on Machine Learning, Stanford, USA, pp. 999\u20131006 (2000)"},{"key":"15_CR23","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1995","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)"},{"key":"15_CR24","unstructured":"Wasson: Nvidia\u2019s GeForce 8800 graphics processor, Technical report, PC Hardware Explored (2006)"},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Yu, H., Yang, J., Han, J.: Classifying Large Data Sets Using SVMs with Hierarchical Clusters. In: Proc. of the ACM SIGKDD Intl Conf. on KDD, pp. 306\u2013315 (2003)","DOI":"10.1145\/956750.956786"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-88192-6_15.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,20]],"date-time":"2023-05-20T04:56:21Z","timestamp":1684558581000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-88192-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540881919","9783540881926"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-88192-6_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[]}}