{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T05:28:22Z","timestamp":1780118902902,"version":"3.54.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319447803","type":"print"},{"value":"9783319447810","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-44781-0_50","type":"book-chapter","created":{"date-parts":[[2016,8,12]],"date-time":"2016-08-12T15:20:37Z","timestamp":1471015237000},"page":"423-430","source":"Crossref","is-referenced-by-count":13,"title":["SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder"],"prefix":"10.1007","author":[{"given":"Noura","family":"Al Moubayed","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toby","family":"Breckon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Matthews","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. Stephen","family":"McGough","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,8,13]]},"reference":[{"key":"50_CR1","doi-asserted-by":"crossref","unstructured":"Almeida, T.A., Hidalgo, J.M.G., Yamakami, A.: Contributions to the study of sms spam filtering: new collection and results. In: Proceedings of the 11th ACM Symposium on Document Engineering, pp. 259\u2013262. ACM (2011)","DOI":"10.1145\/2034691.2034742"},{"issue":"7","key":"50_CR2","doi-asserted-by":"crossref","first-page":"6557","DOI":"10.1016\/j.eswa.2011.12.049","volume":"39","author":"TA Almeida","year":"2012","unstructured":"Almeida, T.A., Yamakami, A.: Facing the spammers: a very effective approach to avoid junk e-mails. Expert Syst. Appl. 39(7), 6557\u20136561 (2012)","journal-title":"Expert Syst. Appl."},{"key":"50_CR3","unstructured":"Bengio, Y., Courville, A.C., Vincent, P.: Unsupervised feature learning and deep learning: a review and new perspectives, vol. 1 (2012). CoRR, abs\/1206.5538"},{"key":"50_CR4","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. mach. Learn. Res."},{"issue":"10","key":"50_CR5","doi-asserted-by":"crossref","first-page":"9899","DOI":"10.1016\/j.eswa.2012.02.053","volume":"39","author":"SJ Delany","year":"2012","unstructured":"Delany, S.J., Buckley, M., Greene, D.: Sms spam filtering: methods and data. Expert Syst. Appl. 39(10), 9899\u20139908 (2012)","journal-title":"Expert Syst. Appl."},{"key":"50_CR6","doi-asserted-by":"crossref","unstructured":"G\u00f3mez Hidalgo, J.M., Bringas, G.C., S\u00e1nz, E.P., Garc\u00eda, F.C.: Content based sms spam filtering. In: Proceedings of the 2006 ACM Symposium on Document Engineering, pp. 107\u2013114. ACM (2006)","DOI":"10.1145\/1166160.1166191"},{"key":"50_CR7","unstructured":"Groupe Speciale Mobile Association (GSMA): SMS spams and mobile messaging attacks - introduction, trends and examples (2011)"},{"issue":"1","key":"50_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2200\/S00573ED1V01Y201403DMK008","volume":"5","author":"M Gupta","year":"2014","unstructured":"Gupta, M., Gao, J., Aggarwal, C., Han, J.: Outlier detection for temporal data. Synth. Lect. Data Min. Knowl. Discov. 5(1), 1\u2013129 (2014)","journal-title":"Synth. Lect. Data Min. Knowl. Discov."},{"issue":"7","key":"50_CR9","doi-asserted-by":"crossref","first-page":"10206","DOI":"10.1016\/j.eswa.2009.02.037","volume":"36","author":"TS Guzella","year":"2009","unstructured":"Guzella, T.S., Caminhas, W.M.: A review of machine learning approaches to spam filtering. Expert Syst. Appl. 36(7), 10206\u201310222 (2009)","journal-title":"Expert Syst. Appl."},{"key":"50_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1007\/3-540-46145-0_17","volume-title":"Data Warehousing and Knowledge Discovery","author":"S Hawkins","year":"2002","unstructured":"Hawkins, S., He, H., Williams, G.J., Baxter, R.A.: Outlier detection using replicator neural networks. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2002. LNCS, vol. 2454, pp. 170\u2013180. Springer, Heidelberg (2002)"},{"key":"50_CR11","unstructured":"Healy, M., Delany, S.J., Zamolotskikh, A.: An assessment of case base reasoning for short text message classification. In: Conference papers, p. 42 (2004)"},{"key":"50_CR12","doi-asserted-by":"crossref","unstructured":"Jie, H., Bei, H., Wenjing, P.: A bayesian approach for text filter on 3g network. In: 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), pp. 1\u20135. IEEE (2010)","DOI":"10.1109\/WICOM.2010.5601282"},{"key":"50_CR13","volume-title":"Continuous Multivariate Distributions, volume 1, Models and Applications","author":"NL Johnson","year":"2002","unstructured":"Johnson, N.L., Kotz, S., Balakrishnan, N.: Continuous Multivariate Distributions, volume 1, Models and Applications, vol. 59. Wiley, New York (2002)"},{"key":"50_CR14","unstructured":"PortioResearch: Mobile Messaging Futures 2013\u20132017 (2013)"},{"key":"50_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/IJCNN.1999.831445","volume":"1","author":"B Scholkopft","year":"1999","unstructured":"Scholkopft, B., Mullert, K.R.: Fisher discriminant analysis with kernels. Neural Netw. sig. proc. IX 1, 1 (1999)","journal-title":"Neural Netw. sig. proc. IX"},{"key":"50_CR16","volume-title":"The Smartphone Difference","author":"A Smith","year":"2015","unstructured":"Smith, A.: The Smartphone Difference. Pew Research Center, Washington (2015)"},{"key":"50_CR17","doi-asserted-by":"crossref","unstructured":"Sohn, D.N., Lee, J.T., Rim, H.C.: The contribution of stylistic information to content-based mobile spam filtering. In: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pp. 321\u2013324. Association for Computational Linguistics (2009)","DOI":"10.3115\/1667583.1667682"},{"key":"50_CR18","volume-title":"Latent Semantic Analysis: A Road to Meaning, Chapter Probabilistic Topic Models","author":"M Steyvers","year":"2007","unstructured":"Steyvers, M., Griffiths, T.: Latent Semantic Analysis: A Road to Meaning, Chapter Probabilistic Topic Models. Laurence Erlbaum, Hillsdale (2007)"},{"key":"50_CR19","first-page":"3371","volume":"11","author":"P Vincent","year":"2010","unstructured":"Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.A.: Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11, 3371\u20133408 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"50_CR20","unstructured":"Xiang, Y., Chowdhury, M., Ali, S.: Filtering mobile spam by support vector machine. In: CSITeA 2004: Third International Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications, pp. 1\u20134. International Society for Computers and Their Applications (ISCA) (2004)"},{"issue":"5","key":"50_CR21","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1002\/sam.11161","volume":"5","author":"A Zimek","year":"2012","unstructured":"Zimek, A., Schubert, E., Kriegel, H.P.: A survey on unsupervised outlier detection in high-dimensional numerical data. Stat. Anal. Data Min. 5(5), 363\u2013387 (2012)","journal-title":"Stat. Anal. Data Min."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-44781-0_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T17:44:23Z","timestamp":1749059063000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-44781-0_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319447803","9783319447810"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-44781-0_50","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}