참고문헌 (48)

1. Abu-Nimeh 60 2007 Proceedings of the Anti-Phishing Working Groups 2nd Annual eCrime Researchers Summit: eCrime 2007 A comparison of machine learning techniques for phishing detection 

2. Anderson 2003 An Introduction to Multivariate Statistical Analysis 

3. Androutsopoulos 9 2000 Proceedings of the 11th European Conference on Machine Learning: ECML 2009, Workshop on Machine Learning in the New Information Age An evaluation of naive Bayesian anti-spam filtering 

4. Barman 703 2006 Proceedings of the 13th International Conference ICONIP 2006 Non-negative matrix factorization based text mining: feature extraction and classification 

5. Berry 2782 2009 Proceedings of the IEEE International Symposium on Circuits and Systems 2009 Document classification using nonnegative matrix factorization and underapproximation 

6. Biro 29 2008 Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web: AIRWeb 2008 Latent Dirichlet allocation in web spam filtering 

7. Journal of Machine Learning Research Blei 3 993 2003 Latent Dirichlet allocation 

8. Journal of Machine Learning Research Bratko 7 2673 2006 Spam filtering using statistical data compression models 

9. Brutlag 2000 Proceedings of the 17th International Conference on Machine Learning: ICML 2000 Challenges of the email domain for text classification 

10. Carreras 58 2001 Proceedings of the 4th International Conference on Recent Advances in Natural Language Processing: RANLP 2001 Boosting trees for anti-spam email filtering 

11. Cormack, G.V., 2007. Spam track overview. In: Proceedings of the 16th Text REtrieval Conference: TREC-2007. National Institute of Standards and Technology (NIST). 

12. Journal of the American Society for Information Science Deerwester 41 391 1990 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9 Indexing by latent semantic analysis 

    상세보기

13. IEEE Transactions on Neural Networks Drucker 10 5 1048 1999 10.1109/72.788645 Support vector machines for spam categorization 

    상세보기

14. SIGKDD Explorations Fawcett 5 2 203 2003 10.1145/980972.980990 In vivo spam filtering: a challenge problem for data mining 

    상세보기

15. Fette 649 2007 Proceedings of the 16th International World Wide Web Conference: WWW 2007 Learning to detect phishing emails 

16. Annals of Eugenics Fisher 7 179 1936 10.1111/j.1469-1809.1936.tb02137.x The use of multiple measurements in taxonomic problems 

    상세보기

17. Gansterer, W.N., Ilger, M., Lechner, P., Neumayer, R., Strauss, J., 2005. Anti-spam methods - state of the art. Tech. rep. 

18. Gansterer 165 2007 Survey of Text Mining II: Clustering, Classification, and Retrieval Spam filtering based on latent semantic indexing 

19. Gansterer 449 2009 Proceedings of the 31st European Conference on Information Retrieval: ECIR 2009 E-mail classification for phishing defense 

20. Gee 460 2003 Proceedings of the 2003 ACM Symposium on Applied Computing, Data Minning Track Using latent semantic indexing to filter spam 

21. Gomez 566 2010 Proceedings of the 14th International Conference KES 2010 Using biased discriminant analysis for email filtering 

22. Gomez, J.C., Moens, M.-F., 2011. Highly discriminative statistical features for email classification. Knowledge and Information Systems, in press (doi:10.1007/s10115-011-0403-7). 

23. Scientific American Goodman 292 4 42 2005 10.1038/scientificamerican0405-42 Stopping spam 

    상세보기

24. Expert Systems with Applications Guzella 36 10206 2009 10.1016/j.eswa.2009.02.037 A review of machine learning approaches to spam filtering 

    상세보기

25. Hartley, R., Schaffalitzky, F., 2004. PowerFactorization: 3d reconstruction with missing or uncertain data. In: Proceedings of the Australia-Japan Advanced Workshop on Computer Vision: AJAW 2003. 

26. Pattern Recognition Hoffmann 40 863 2007 10.1016/j.patcog.2006.07.009 Kernel PCA for novelty detection 

    상세보기

27. Hofmann 50 1999 Proceedings of the 22nd Annual International ACM SIGIR Probabilistic latent semantic indexing 

28. Journal of Educational Psychology Hotelling 24 7 498 1933 10.1037/h0070888 Analysis of a complex of statistical variables into principal components 

    상세보기

29. 10.1007/11893004_51 Ishii, N., Murai, T., Yamada, T., Bao, Y., Suzuki, S., 2006. Text classification: combining grouping, LSA and kNN vs support vector machine. In: Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Computer Science, vol. 4252, pp. 393-400. 

    상세보기

30. Janecek 2010 Utilizing Nonnegative Matrix Factorization for Email Classification Problems 

31. Jolliffe 1986 Principal Component Analysis 

32. International Journal on Artificial Intelligence Tools Kanaris 16 6 1047 2007 10.1142/S0218213007003692 Words vs. character n-grams for anti-spam filtering 

    상세보기

33. Journal of Machine Learning Research Kim 6 37 2005 Dimension reduction in text classification with support vector machines 

    상세보기

34. Image and Vision Computing Malagon-Borja 27 1-2 2 2009 10.1016/j.imavis.2007.03.004 Object detection using image reconstruction with PCA 

    상세보기

35. Annals of Mathematical Statistics Mann 18 1 50 1947 10.1214/aoms/1177730491 On a test of whether one of two random variables is stochastically larger than the other 

    상세보기

36. SIAM: Journal of Numerical Analysis Moler 10 2 241 1973 10.1137/0710024 An algorithm for generalized matrix eigenvalue problems 

    상세보기

37. IEEE Transactions on Pattern Analysis and Machine Intelligence Morita 19 8 858 1997 10.1109/34.608289 A sequential factorization method for recovering shape and motion from image streams 

    상세보기

38. Philosophical Magazine Pearson 2 6 559 1901 10.1080/14786440109462720 On lines and planes of closest fit to systems of points in space 

    상세보기

39. Platt 1998 Fast Training of Support Vector Machines Using Sequential Minimal Optimization 

40. 10.1007/11760023_39 Pu, Q., Yang, G.-W., 2006. Short-text classification based on ICA and LSA. In: Advances in Neural Networks, vol. 3972, Lecture Notes in Computer Science. pp. 265-270. 

    상세보기

41. Linux Journal Robinson 2003 107 58 2003 A statistical approach to the spam problem 

42. Sculley 9 2007 Proceedings of the 30th Annual International ACM SIGIR Conference Relaxed online SVMs for spam filtering 

43. Silva 300 2009 Proceedings of the 10th International Conference IDEAL 2009 Knowledge extraction with non-negative matrix factorization for text classification 

44. Torkkola 2001 Proceedings of the 2001 IEEE ICDM Workshop on Text Mining Linear discriminant analysis in document classification 

45. International Journal of Computer Vision Vidal 79 1 85 2008 10.1007/s11263-007-0099-z Multiframe motion segmentation with missing data using PowerFactorization and GPCA 

    상세보기

46. Witten 2000 Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations 

47. Xia 474 2006 Proceedings of the 23rd Annual ACM symposium on Applied Computing: SAC 2008 Binarization approaches to email categorization 

48. Knowledge-Based Systems Yu 21 4 355 2008 10.1016/j.knosys.2008.01.001 A comparative study for content-based dynamic spam classification using four machine learning algorithms 

    상세보기