-
1
-
-
37349001444
-
-
Androutsopoulos, I., Koutsias, J., Chandrinos, K. V., & Spyropoulos, D. (2000). Learning to filter spam e-mail: a comparison of a naive bayesian and a memory-based approach. The 4th PKDD's workshop on machine learning and textual information access.
-
-
-
-
2
-
-
0033336136
-
Distributed data mining in credit card fraud detection
-
Chan P.K., Fan W., Prodromidis A.L., and Stolfo S.J. Distributed data mining in credit card fraud detection. IEEE Intelligent Systems 14 6 (1999) 67-74
-
(1999)
IEEE Intelligent Systems
, vol.14
, Issue.6
, pp. 67-74
-
-
Chan, P.K.1
Fan, W.2
Prodromidis, A.L.3
Stolfo, S.J.4
-
3
-
-
37349082636
-
-
Delany, S. J., & Cunningham, P. (2006). ECUE: a spam filter that uses machine learning to track concept drift. Technical Report, Computer Science Department, The University of Dublin. Available from https://www.cs.tcd.ie/publications/tech-reports/reports.06/TCD-CS-2006-05.pdf.
-
-
-
-
5
-
-
12244261390
-
In vivo spam filtering: a challenge problem for KDD
-
Fawcett T. In vivo spam filtering: a challenge problem for KDD. ACM SIGKDD Explorations Newsletter 5 2 (2003) 140-148
-
(2003)
ACM SIGKDD Explorations Newsletter
, vol.5
, Issue.2
, pp. 140-148
-
-
Fawcett, T.1
-
6
-
-
37349093193
-
-
Forman, G. (2006). Tackling concept drift by temporal inductive transfer. SIGIR '06 ACM.
-
-
-
-
8
-
-
37349062190
-
-
Honda, T., Motizuki, H., Ho, T. B., & Okumura, M. (1997). Generating decision trees from an unbalanced data set. In Maarten vanSomeren., Gerhard Widmer (Eds.), Poster papers presented at the 9th European conference on machine learning (ECML) (pp. 68-77).
-
-
-
-
10
-
-
23744432473
-
Information gain and divergence-based feature selection for machine learning-based text categorization
-
Lee C., and Lee G.G. Information gain and divergence-based feature selection for machine learning-based text categorization. Information Processing and Management 42 1 (2006) 155-165
-
(2006)
Information Processing and Management
, vol.42
, Issue.1
, pp. 155-165
-
-
Lee, C.1
Lee, G.G.2
-
11
-
-
37349124377
-
-
Lian, Y. (2002). E-mail filtering, Master thesis. University of Sheffield, Department of Advanced Software Engineering.
-
-
-
-
12
-
-
33750133338
-
-
Luo, X., & Zincir-Heywood, N. (2005). Comparison of a SOM based sequence analysis system and naive bayesian classifier for spam filtering. In Proceedings of IEEE international joint conference on neural networks - IJCNN '05 (Vol. 4, pp. 2571 - 2576).
-
-
-
-
13
-
-
37349094537
-
-
McCallum, A. (2002). Bow: a toolkit for statistical language modeling, text retrieval, classification and clustering. Available from http://www.cs.cmu.edu/~mccallum/bow/.
-
-
-
-
14
-
-
37349111214
-
-
Monard, M. C., & Batista, G. E. A. P. A. (2002). Learning with skewed class distributions. In Advances in logic, artificial intelligence and robotics (LAPTEC'02).
-
-
-
-
15
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
Nigam K., McCallum A.K., Thrun S., and Mitchell T. Text classification from labeled and unlabeled documents using EM. Machine Learning 39 (2000) 103-134
-
(2000)
Machine Learning
, vol.39
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.K.2
Thrun, S.3
Mitchell, T.4
-
16
-
-
0030785931
-
Interface agents that learn: an investigation of learning issues in a mail agent interface
-
Payne T.R., and Edward P. Interface agents that learn: an investigation of learning issues in a mail agent interface. Applied Artificial Intelligence (1997) 1-32
-
(1997)
Applied Artificial Intelligence
, pp. 1-32
-
-
Payne, T.R.1
Edward, P.2
-
17
-
-
84948481845
-
An algorithm for suffix stripping. Program
-
Porter M. An algorithm for suffix stripping. Program. Automated Library and Information Systems 4 3 (1980) 130-137
-
(1980)
Automated Library and Information Systems
, vol.4
, Issue.3
, pp. 130-137
-
-
Porter, M.1
-
18
-
-
37349044113
-
-
Sahami, M., Dumais, S., Heckerman D., & Horvitz, E., (1998). A Bayesian approach to filtering junk e-mail. AAAI-98 workshop on learning for text categorization.
-
-
-
-
19
-
-
37349057637
-
-
Stanley, K. O. (2003). Learning concept drift with a committee of decision trees. Department of Computer Sciences Technical Report AI-03-302.
-
-
-
-
20
-
-
0242456817
-
-
Wu, H., Pang, T. H., Liu, B., & Li., X. (2002). A refinement approach to handling model misfit in text categorization. In Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining (pp. 23-26).
-
-
-
-
21
-
-
0001868572
-
Text categorization based on regularized linear classification methods
-
Zhang T., and Oles F.J. Text categorization based on regularized linear classification methods. Information Retrieval 4 1 (2001) 5-31
-
(2001)
Information Retrieval
, vol.4
, Issue.1
, pp. 5-31
-
-
Zhang, T.1
Oles, F.J.2
|