{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:30:22Z","timestamp":1725489022139},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540733508"},{"type":"electronic","value":"9783540733515"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-73351-5_4","type":"book-chapter","created":{"date-parts":[[2007,8,14]],"date-time":"2007-08-14T03:56:35Z","timestamp":1187063795000},"page":"35-47","source":"Crossref","is-referenced-by-count":0,"title":["Developing Methods and Heuristics with Low Time Complexities for Filtering Spam Messages"],"prefix":"10.1007","author":[{"given":"Tunga","family":"G\u00fcng\u00f6r","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"\u00c7\u0131lt\u0131k","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"4_CR1","unstructured":"Burns, E.: New Image-Based Spam: No Two Alike, \n                    \n                      http:\/\/www.clickz.com\/"},{"key":"4_CR2","unstructured":"Androutsopoulos, I., Koutsias, J., Chandrinos, K., Paliouras, G., Spyropoulos, C.: An Evaluation of Naive Bayesian Anti-Spam Filtering. In: Machine Learning in the New Information Age. Barcelona, pp. 9\u201317 (2000)"},{"key":"4_CR3","unstructured":"Sahami, M., Dumais, S., Heckerman, D., Horvitz, E.: A Bayesian Approach to Filtering Junk E-Mail. In: AAAI Workshop on Learning for Text Categorization. Madison, pp. 55\u201362 (1998)"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Schneider, K.M.: A Comparison of Event Models for Na\u00efve Bayes Anti-Spam E-Mail Filtering. In: Conference of the European Chapter of ACL. Budapest, pp. 307\u2013314 (2003)","DOI":"10.3115\/1067807.1067848"},{"key":"4_CR5","unstructured":"Cohen, W.: Learning Rules That Classify E-mail. In: AAAI Spring Symposium on Machine Learning in Information Access. Stanford, California, pp. 18\u201325 (1996)"},{"issue":"5","key":"4_CR6","doi-asserted-by":"publisher","first-page":"1048","DOI":"10.1109\/72.788645","volume":"10","author":"H. Drucker","year":"1999","unstructured":"Drucker, H., Wu, D., Vapnik, V.N.: Support Vector Machines for Spam Categorization. IEEE Transactions on Neural Networks\u00a010(5), 1048\u20131054 (1999)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"4_CR7","unstructured":"Kolcz, A., Alspector, J.: SVM-Based Filtering of E-Mail Spam with Content-Specific Misclassification Costs. In: TextDM Workshop on Text Mining (2001)"},{"key":"4_CR8","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.knosys.2004.10.002","volume":"18","author":"S.J. Delany","year":"2005","unstructured":"Delany, S.J., Cunningham, P., Tsymbal, A., Coyle, L.: A Case-Based Technique for Tracking Concept Drift in Spam Filtering. Knowledge-Based Systems\u00a018, 187\u2013195 (2005)","journal-title":"Knowledge-Based Systems"},{"key":"4_CR9","unstructured":"Androutsopoulos, I., Paliouras, G., Karkaletsis, V., Sakkis, G., Spyropoulos, C., Stamatopoulos, P.: Learning to Filter Spam E-Mail: A Comparison of a Na\u00efve Bayesian and a Memory-Based Approach. In: Workshop on Machine Learning and Textual Information Access, Lyon, pp. 1\u201313 (2000)"},{"key":"4_CR10","unstructured":"Zhang, L., Yao, T.: Filtering Junk Mail with a Maximum Entropy Model. In: International Conference on Computer Processing of Oriental Languages, pp. 446\u2013453 (2003)"},{"key":"4_CR11","unstructured":"http:\/\/www.faqs.org\/rfcs\/rfc2554.html\/"},{"key":"4_CR12","unstructured":"http:\/\/www.openspf.org\/"},{"issue":"16","key":"4_CR13","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1016\/j.patrec.2004.07.004","volume":"25","author":"L. \u00d6zg\u00fcr","year":"2004","unstructured":"\u00d6zg\u00fcr, L., G\u00fcng\u00f6r, T., G\u00fcrgen, F.: Adaptive Anti-Spam Filtering for Agglutinative Languages:A Special Case for Turkish. Pattern Recognition Letters\u00a025(16), 1819\u20131831 (2004)","journal-title":"Pattern Recognition Letters"},{"issue":"2","key":"4_CR14","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1093\/llc\/9.2.137","volume":"9","author":"K. Oflazer","year":"1994","unstructured":"Oflazer, K.: Two-Level Description of Turkish Morphology. Literary and Linguistic Computing\u00a09(2), 137\u2013148 (1994)","journal-title":"Literary and Linguistic Computing"},{"key":"4_CR15","volume-title":"Statistical Language Learning","author":"E. Charniak","year":"1997","unstructured":"Charniak, E.: Statistical Language Learning. MIT, Cambridge, MA (1997)"},{"key":"4_CR16","volume-title":"Foundations of Statistical Natural Language Processing","author":"C.D. Manning","year":"2000","unstructured":"Manning, C.D., Sch\u00fctze, H.: Foundations of Statistical Natural Language Processing. MIT, Cambridge, MA (2000)"},{"key":"4_CR17","unstructured":"Zdziarski, J.: Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification. No Starch Press (2005)"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-73351-5_4.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T06:08:19Z","timestamp":1619503699000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-73351-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540733508","9783540733515"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-73351-5_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}