-
1
-
-
85132933917
-
-
Pampapathi, R., Mirkin, B., Levene, M.: A suffix tree approach to anti-spam email filtering. Mach. Learn. 65(1), 309–338 (2006). (Kluwer Academic Publishers)
-
Pampapathi, R., Mirkin, B., Levene, M.: A suffix tree approach to anti-spam email filtering. Mach. Learn. 65(1), 309–338 (2006). (Kluwer Academic Publishers)
-
-
-
-
4
-
-
77950275127
-
Detecting spam in a twitter network
-
Yardi, S., Romero, D., Schoenebeck, G., Boyd, D.: Detecting spam in a twitter network. First Monday, 15(1), 1–14 (2010)
-
(2010)
First Monday
, vol.15
, Issue.1
, pp. 1-14
-
-
Yardi, S.1
Romero, D.2
Schoenebeck, G.3
Boyd, D.4
-
6
-
-
84860848688
-
Detecting spammers on twitter
-
Benevenuto, F., Magno, G., Rodrigues, T., Almeida, V.: Detecting spammers on twitter. In: Proceedings of the Seventh Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference, CEAS 2010, Redmond, Washington, US, 13–14 July (2010)
-
(2010)
Proceedings of the Seventh Annual Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference, CEAS 2010, Redmond, Washington, US, 13–14 July
-
-
Benevenuto, F.1
Magno, G.2
Rodrigues, T.3
Almeida, V.4
-
7
-
-
77956044597
-
Uncovering social Spammers: Social honeypots + machine learning
-
Lee, K., Caverlee, J., Webb, S.: Uncovering social Spammers: social honeypots + machine learning. In: Proceedings of the 33rd SIGIR’10, Geneva, Switzerland 19–23 July (2010)
-
(2010)
Proceedings of the 33Rd SIGIR’10, Geneva, Switzerland 19–23 July
-
-
Lee, K.1
Caverlee, J.2
Webb, S.3
-
8
-
-
84860848692
-
Overcoming spammers in twitter-a tale of five algorithms
-
Madrid, Espana, pp
-
Gayo-Avello, D., Brenes, D.J.: Overcoming spammers in twitter-a tale of five algorithms. In: Proceedings of the CERI 2010, Madrid, Espana, pp. 41–52 (2010)
-
(2010)
Proceedings of the CERI 2010
, pp. 41-52
-
-
Gayo-Avello, D.1
Brenes, D.J.2
-
9
-
-
84904815925
-
Training SpamAssassin with active semi-supervised learning
-
Xu, J.M., Fumera, G., Roli, F., Zhou, Z.H.: Training SpamAssassin with active semi-supervised learning. In: The Sixth Conference on Email and Anti-Spam CEAS 2009, Mountain View, California USA, 16–17 July (2009)
-
(2009)
The Sixth Conference on Email and Anti-Spam CEAS 2009, Mountain View, California USA, 16–17 July
-
-
Xu, J.M.1
Fumera, G.2
Roli, F.3
Zhou, Z.H.4
-
10
-
-
33750027607
-
Semi-Supervised Text Classification Using EM
-
Chapelle, O., Zien, A., Scholkopf, B. (eds.), MIT Press, Boston
-
Nigam, K., McCallum, A., Mitchell, T.M.: Semi-Supervised Text Classification Using EM. In: Chapelle, O., Zien, A., Scholkopf, B. (eds.) Semi-Supervised Learning. MIT Press, Boston (2006)
-
(2006)
Semi-Supervised Learning
-
-
Nigam, K.1
McCallum, A.2
Mitchell, T.M.3
-
11
-
-
33745456231
-
Semi-Supervised Learning Literature Survey
-
University of Wisconsin, Madison
-
Zhu, X.: Semi-Supervised Learning Literature Survey, Computer Sciences Technical Report 1530. University of Wisconsin, Madison (2006)
-
(2006)
Computer Sciences Technical Report
, vol.1530
-
-
Zhu, X.1
-
13
-
-
0032269108
-
How many clusters? Which clustering method? Answers via model-based cluster analysis
-
Fraley, C., Raftery, A.E.: How many clusters? Which clustering method? Answers via model-based cluster analysis. Comput. J. 41, 578–588 (1998)
-
(1998)
Comput. J.
, vol.41
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
|