{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T15:52:53Z","timestamp":1725551573577},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540304623"},{"type":"electronic","value":"9783540316527"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11589990_18","type":"book-chapter","created":{"date-parts":[[2005,11,26]],"date-time":"2005-11-26T06:28:03Z","timestamp":1132986483000},"page":"153-163","source":"Crossref","is-referenced-by-count":3,"title":["Machine Learning Approach to Realtime Intrusion Detection System"],"prefix":"10.1007","author":[{"given":"Byung-Joo","family":"Kim","sequence":"first","affiliation":[]},{"given":"Il Kon","family":"Kim","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"18_CR1","unstructured":"Eskin, E.: Anomaly detection over noisy data using learned probability distribution. In: Proceedings of the Seventeenth International Conference on Machine Learning, pp. 443\u2013482 (2000)"},{"key":"18_CR2","unstructured":"Ghosh, A., Schwartzbard, A.: A Study in using neural networks for anomaly and misuse detection. In: Proceedings of the Eighth USENIX Security Symposium, pp. 443\u2013482 (1999)"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Lee, W., Stolfo, S.J., Mok, K.: A Data mining in workflow environments.:Experience in intrusion detection. In: Proceedings of the 1999 Conference on Knowledge Discovery and Data Mining (1999)","DOI":"10.1145\/312129.312212"},{"issue":"2","key":"18_CR4","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1162\/089976699300016728","volume":"11","author":"M.E. Tipping","year":"1998","unstructured":"Tipping, M.E., Bishop, C.M.: Mixtures of probabilistic principal component analysers. Neural Computation\u00a011(2), 443\u2013482 (1998)","journal-title":"Neural Computation"},{"issue":"2","key":"18_CR5","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1002\/aic.690370209","volume":"37","author":"M.A. Kramer","year":"1991","unstructured":"Kramer, M.A.: Nonlinear principal component analysis using autoassociative neural networks. AICHE Journal\u00a037(2), 233\u2013243 (1991)","journal-title":"AICHE Journal"},{"key":"18_CR6","volume-title":"Principal Component Neural Networks: Theory and Applications","author":"K.I. Diamantaras","year":"1996","unstructured":"Diamantaras, K.I., Kung, S.Y.: Principal Component Neural Networks: Theory and Applications. John Wiley & Sons, Inc, New York (1996)"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Kim, B.J., Shim, J.Y., Hwang, C.H., Kim, I.K.: On-line Feature Extraction Based on Emperical Feature Map. In: Foundations of Intelligent Systems. LNCS (LNAI), vol.\u00a02871, pp. 440\u2013444. Springer, Heidelberg (2003)","DOI":"10.1007\/978-3-540-39592-8_62"},{"key":"18_CR8","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/0893-6080(91)90070-L","volume":"4","author":"W.S. Softky","year":"1991","unstructured":"Softky, W.S., Kammen, D.M.: Correlation in high dimensional or asymmetric data set: Hebbian neuronal processing. Neural Networks\u00a04, 337\u2013348 (1991)","journal-title":"Neural Networks"},{"key":"18_CR9","unstructured":"Gupta, H., Agrawal, A.K., Pruthi, T., Shekhar, C., Chellappa., R.: An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition, accessible at, http:\/\/citeseer.nj.nec.com"},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J.A.K. Suykens","year":"1999","unstructured":"Suykens, J.A.K., Vandewalle, J.: Least squares support vector machine classifiers. Neural Processing Letters\u00a09, 293\u2013300 (1999)","journal-title":"Neural Processing Letters"},{"key":"18_CR11","volume-title":"Statistical learning theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical learning theory. John Wiley & Sons, New York (1998)"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Hall, P., Marshall, D., Martin, R.: On-line eigenalysis for classification. In: British Machine Vision Conference, vol.\u00a01, pp. 286\u2013295 (1998)","DOI":"10.5244\/C.12.29"},{"key":"18_CR13","first-page":"511","volume-title":"CVPR","author":"J. Winkeler","year":"1999","unstructured":"Winkeler, J., Manjunath, B.S., Chandrasekaran, S.: Subset selection for active object recognition. In: CVPR, vol.\u00a02, pp. 511\u2013516. IEEE Computer Society Press, Los Alamitos (1999)"},{"issue":"5","key":"18_CR14","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1109\/TPAMI.1982.4767295","volume":"4","author":"H. Murakami","year":"1982","unstructured":"Murakami, H., Kumar., B.V.K.V.: Efficient calculation of primary images from a set of images. IEEE PAMI\u00a04(5), 511\u2013515 (1982)","journal-title":"IEEE PAMI"},{"issue":"5","key":"18_CR15","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1162\/089976698300017467","volume":"10","author":"B. Scholkopf","year":"1998","unstructured":"Scholkopf, B., Smola, A., Muller, K.R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation\u00a010(5), 1299\u20131319 (1998)","journal-title":"Neural Computation"},{"key":"18_CR16","unstructured":"Tsuda, K.: Support vector classifier based on asymmetric kernel function. In: Proc. ESANN (1999)"},{"key":"18_CR17","unstructured":"Mika, S.: Kernel algorithms for nonlinear signal processing in feature spaces. Master\u2019s thesis, Technical University of Berlin (November 1998)"},{"key":"18_CR18","unstructured":"Accessable at, http:\/\/kdd.ics.uci.edu\/databases\/kddcup99"},{"key":"18_CR19","unstructured":"Gestel, V., Suykens, T.J.A.K., Lanckriet, G., Lambrechts, De Moor, A.B., Vandewalle, J.: A Bayesian Framework for Least Squares Support Vector Machine Classifiers. Internal Report 00-65, ESAT-SISTA, K.U. Leuven"},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Suykens, J.A.K., Vandewalle, J.: Multiclass Least Squares Support Vector Machines. In: Proc. International Joint Conference on Neural Networks (IJCNN 1999), Washington DC (1999)","DOI":"10.1109\/IJCNN.1999.831072"}],"container-title":["Lecture Notes in Computer Science","AI 2005: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11589990_18.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T06:48:01Z","timestamp":1619506081000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11589990_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540304623","9783540316527"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/11589990_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}