{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T20:02:04Z","timestamp":1759694524912,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319266886"},{"type":"electronic","value":"9783319266909"}],"license":[{"start":{"date-parts":[[2015,11,10]],"date-time":"2015-11-10T00:00:00Z","timestamp":1447113600000},"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\/978-3-319-26690-9_29","type":"book-chapter","created":{"date-parts":[[2015,11,9]],"date-time":"2015-11-09T00:25:43Z","timestamp":1447028743000},"page":"321-331","source":"Crossref","is-referenced-by-count":7,"title":["An E-mail Filtering Approach Using Classification Techniques"],"prefix":"10.1007","author":[{"given":"Eman M.","family":"Bahgat","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sherine","family":"Rady","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Walaa","family":"Gad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,10]]},"reference":[{"key":"29_CR1","volume-title":"Email statistics report","author":"S Radicati","year":"2012","unstructured":"Radicati, S., Hoang, Q.: Email statistics report. The Radicati Group Inc., London (2012)"},{"key":"29_CR2","unstructured":"Lai, C.C., Tsai, M.C.: An empirical performance comparison of machine learning methods for spam e-mail categorization. In: Fourth International Conference on Hybrid Intelligent Systems HIS\u201904, pp. 44\u201348. IEEE (2004)"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"del Castillo, M.D., Serrano, J.I.L.: An interactive hybrid system for identifying and filtering unsolicited e-mail. In: Intelligent Data Engineering and Automated Learning\u2013IDEAL. Lecture Notes in Computer Science, vol. 4224, pp. 779\u2013788. Springer, Berlin (2006)","DOI":"10.1007\/11875581_94"},{"key":"29_CR4","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/978-3-642-17187-1_24","volume-title":"Information Retrieval Technology","author":"Md. Saiful Islam","year":"2010","unstructured":"Islam, M.S., Al Mahmud, A., Islam, M.R.: Machine learning approaches for modeling spammer behavior. In: Proceedings of the Information Retrieval Technology: The 6th Asia Information Retrieval Societies Conference, AIRS, Taipei, Taiwan, vol. 6458, pp. 251\u2013260. Springer, Berlin (2010)"},{"key":"29_CR5","unstructured":"Blanzieri, E., Bryl, A.: A survey of learning-based techniques of email spam filtering. Technical Report DIT-06-056, University of Trento, Information Engineering and Computer Science Department, 2008"},{"key":"29_CR6","unstructured":"Mitchell, T.: Generative and discriminative classifiers: naive Bayes and logistic regression. \n                    http:\/\/www.cs.cm.edu\/~tom\/NewChapters.html\n                    \n                  . (2005)"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Renuka, D.K., Hamsapriya, T., Chakkaravarthi, M. R., Surya, P.L.: Spam classification based on supervised learning using machine learning techniques. In: International Conference on Process Automation, Control and Computing (PACC), pp. 1\u20137. IEEE (2011)","DOI":"10.1109\/PACC.2011.5979035"},{"issue":"3","key":"29_CR8","first-page":"949","volume":"8","author":"L Shi","year":"2012","unstructured":"Shi, L., Wang, Q., Ma, X., Weng, M., Qiao, H.: Spam email classification using decision tree ensemble. J. Comput. Inf. Syst. 8(3), 949\u2013956 (2012)","journal-title":"J. Comput. Inf. Syst."},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Islam, M., Zhou, W.: Architecture of adaptive spam filtering based on machine learning algorithms. In: ICA3PP, LNCS, vol. 4494, pp. 458\u2013469. Springer, Berlin (2007)","DOI":"10.1007\/978-3-540-72905-1_41"},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Islam, R., Xiang, Y.: Email classification using data reduction method. In: Proceedings of the 5th International ICST Conference on Communications and Networking in China, pp. 1\u20135. IEEE (2010)","DOI":"10.4108\/chinacom.2010.59"},{"key":"29_CR11","doi-asserted-by":"crossref","unstructured":"Bhat, V.H., Malkani, V.R., Shenoy, P.D., Venugopal, K.R., Patnaik, L.M.: Classification of email using beaks: behavior and keyword stemming. In: TENCON IEEE Region 10 Conference, pp. 1139\u20131143. IEEE (2011)","DOI":"10.1109\/TENCON.2011.6129290"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Abdelrahim, A.A., Elhadi, A.A.E., Ibrahim, H., Elmisbah, N.: Feature selection and similarity coefficient based method for email spam filtering. In: International Conference on Computing, Electrical and Electronics Engineering (ICCEEE). IEEE (2013)","DOI":"10.1109\/ICCEEE.2013.6634013"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Ting, L., Yu, Q.: Spam feature selection based on the improved mutual information algorithm. In: Fourth International Conference on Multimedia Information Networking and Security (MINES), IEEE (2012)","DOI":"10.1109\/MINES.2012.203"},{"key":"29_CR14","doi-asserted-by":"crossref","unstructured":"Wang, R., Youssef, A.M., Elhakeem, A.K.: On some feature selection strategies for spam filter design. In: Canadian Conference on Electrical and Computer Engineering (CCECE\u201906) pp. 2186\u20132189. IEEE (2006)","DOI":"10.1109\/CCECE.2006.277770"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Shams, R., Mercer, R.E.: Classifying spam emails using text and readability features. In: 13th International Conference on Data Mining (ICDM). IEEE (2013)","DOI":"10.1109\/ICDM.2013.131"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"More, S., Kulkarni, S.: Data mining with machine learning applied for email deception. In: International Conference on Optical Imaging Sensor and Security. IEEE (2013)","DOI":"10.1109\/ICOISS.2013.6678403"},{"issue":"3","key":"29_CR17","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1108\/eb046814","volume":"14","author":"M.F. Porter","year":"1980","unstructured":"Porter, M.F. An algorithm for suffix stripping. Program 14.3, 130\u2013137 (1980)","journal-title":"Program"},{"key":"29_CR18","unstructured":"http:\/\/csmining.org\/index.php\/enron-spam-datasets.html"}],"container-title":["Advances in Intelligent Systems and Computing","The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-26690-9_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T09:14:00Z","timestamp":1559294040000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-26690-9_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,10]]},"ISBN":["9783319266886","9783319266909"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-26690-9_29","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015,11,10]]}}}